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Research Paper Title – Writing Guide and Example

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Research Paper Title

Research Paper Title is the name or heading that summarizes the main theme or topic of a research paper . It serves as the first point of contact between the reader and the paper, providing an initial impression of the content, purpose, and scope of the research . A well-crafted research paper title should be concise, informative, and engaging, accurately reflecting the key elements of the study while also capturing the reader’s attention and interest. The title should be clear and easy to understand, and it should accurately convey the main focus and scope of the research paper.

Examples of Research Paper Title

Here are some Good Examples of Research Paper Title:

• “Investigating the Relationship Between Sleep Duration and Academic Performance Among College Students”
• “The Impact of Artificial Intelligence on Employment: A Systematic Review”
• “The Effectiveness of Mindfulness-Based Interventions for Anxiety: A Meta-Analysis”
• “Exploring the Effects of Social Support on Mental Health in Patients with Chronic Illness”
• “Assessing the Effectiveness of Cognitive-Behavioral Therapy for Depression: A Randomized Controlled Trial”
• “The Impact of Social Media Influencers on Consumer Behavior: A Systematic Review”
• “Investigating the Link Between Personality Traits and Leadership Effectiveness”
• “The Effect of Parental Incarceration on Child Development: A Longitudinal Study”
• “Exploring the Relationship Between Cultural Intelligence and Cross-Cultural Adaptation: A Meta-Analysis”
• “Assessing the Effectiveness of Mindfulness-Based Stress Reduction for Chronic Pain Management”.
• “The Effects of Social Media on Mental Health: A Meta-Analysis”
• “The Impact of Climate Change on Global Crop Yields: A Longitudinal Study”
• “Exploring the Relationship between Parental Involvement and Academic Achievement in Elementary School Students”
• “The Ethics of Genetic Editing: A Review of Current Research and Implications for Society”
• “Understanding the Role of Gender in Leadership: A Comparative Study of Male and Female CEOs”
• “The Effect of Exercise on Cognitive Function in Older Adults: A Randomized Controlled Trial”
• “The Impacts of COVID-19 on Mental Health: A Cross-Cultural Comparison”
• “Assessing the Effectiveness of Online Learning Platforms: A Case Study of Coursera”
• “Exploring the Link between Employee Engagement and Organizational Performance”
• “The Effects of Income Inequality on Social Mobility: A Comparative Analysis of OECD Countries”
• “Exploring the Relationship Between Social Media Use and Mental Health in Adolescents”
• “The Impact of Climate Change on Crop Yield: A Case Study of Maize Production in Sub-Saharan Africa”
• “Examining the Effectiveness of Cognitive Behavioral Therapy for Anxiety Disorders: A Meta-Analysis”
• “An Analysis of the Relationship Between Employee Job Satisfaction and Organizational Commitment”
• “Assessing the Impacts of Wilderness Areas on Local Economies: A Case Study of Yellowstone National Park”
• “The Role of Parental Involvement in Early Childhood Education: A Review of the Literature”
• “Investigating the Effects of Technology on Learning in Higher Education”
• “The Use of Artificial Intelligence in Healthcare: Opportunities and Challenges”
• “A Study of the Relationship Between Personality Traits and Leadership Styles in Business Organizations”.

How to choose Research Paper Title

Choosing a research paper title is an important step in the research process. A good title can attract readers and convey the essence of your research in a concise and clear manner. Here are some tips on how to choose a research paper title:

• Be clear and concise: A good title should convey the main idea of your research in a clear and concise manner. Avoid using jargon or technical language that may be confusing to readers.
• Use keywords: Including keywords in your title can help readers find your paper when searching for related topics. Use specific, descriptive terms that accurately describe your research.
• Be descriptive: A descriptive title can help readers understand what your research is about. Use adjectives and adverbs to convey the main ideas of your research.
• Consider the audience : Think about the audience for your paper and choose a title that will appeal to them. If your paper is aimed at a specialized audience, you may want to use technical terms or jargon in your title.
• Avoid being too general or too specific : A title that is too general may not convey the specific focus of your research, while a title that is too specific may not be of interest to a broader audience. Strive for a title that accurately reflects the focus of your research without being too narrow or too broad.
• Make it interesting : A title that is interesting or provocative can capture the attention of readers and draw them into your research. Use humor, wordplay, or other creative techniques to make your title stand out.
• Seek feedback: Ask colleagues or advisors for feedback on your title. They may be able to offer suggestions or identify potential problems that you hadn’t considered.

Purpose of Research Paper Title

The research paper title serves several important purposes, including:

• Identifying the subject matter : The title of a research paper should clearly and accurately identify the topic or subject matter that the paper addresses. This helps readers quickly understand what the paper is about.
• Catching the reader’s attention : A well-crafted title can grab the reader’s attention and make them interested in reading the paper. This is particularly important in academic settings where there may be many papers on the same topic.
• Providing context: The title can provide important context for the research paper by indicating the specific area of study, the research methods used, or the key findings.
• Communicating the scope of the paper: A good title can give readers an idea of the scope and depth of the research paper. This can help them decide if the paper is relevant to their interests or research.
• Indicating the research question or hypothesis : The title can often indicate the research question or hypothesis that the paper addresses, which can help readers understand the focus of the research and the main argument or conclusion of the paper.

Advantages of Research Paper Title

The title of a research paper is an important component that can have several advantages, including:

• Capturing the reader’s attention : A well-crafted research paper title can grab the reader’s attention and encourage them to read further. A captivating title can also increase the visibility of the paper and attract more readers.
• Providing a clear indication of the paper’s focus: A well-written research paper title should clearly convey the main focus and purpose of the study. This helps potential readers quickly determine whether the paper is relevant to their interests.
• Improving discoverability: A descriptive title that includes relevant keywords can improve the discoverability of the research paper in search engines and academic databases, making it easier for other researchers to find and cite.
• Enhancing credibility : A clear and concise title can enhance the credibility of the research and the author. A title that accurately reflects the content of the paper can increase the confidence readers have in the research findings.
• Facilitating communication: A well-written research paper title can facilitate communication among researchers, enabling them to quickly and easily identify relevant studies and engage in discussions related to the topic.
• Making the paper easier to remember : An engaging and memorable research paper title can help readers remember the paper and its findings. This can be especially important in fields where researchers are constantly inundated with new information and need to quickly recall important studies.
• Setting expectations: A good research paper title can set expectations for the reader and help them understand what the paper will cover. This can be especially important for readers who are unfamiliar with the topic or the research area.
• Guiding research: A well-crafted research paper title can also guide future research by highlighting gaps in the current literature or suggesting new areas for investigation.
• Demonstrating creativity: A creative research paper title can demonstrate the author’s creativity and originality, which can be appealing to readers and other researchers.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Organizing Academic Research Papers: Choosing a Title

• Purpose of Guide
• Design Flaws to Avoid
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Executive Summary
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tertiary Sources
• What Is Scholarly vs. Popular?
• Qualitative Methods
• Quantitative Methods
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Annotated Bibliography
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• How to Manage Group Projects
• Multiple Book Review Essay
• Reviewing Collected Essays
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Research Proposal
• Acknowledgements

The title summarizes the main idea or ideas of your study. A good title contains the fewest possible words that adequately describe the contents and/or purpose of your research paper.

The title is without doubt the part of a paper that is read the most, and it is usually read first . If the title is too long it usually contains too many unnecessary words, e.g., "A Study to Investigate the...." On the other hand, a title which is too short often uses words which are too general. For example, "African Politics" could be the title of a book, but it does not provide any information on the focus of a research paper.

Structure and Writing Style

The following parameters can be used to help you formulate a suitable research paper title:

• The purpose of the research
• The narrative tone of the paper [typically defined by the type of the research]
• The methods used

The initial aim of a title is to capture the reader’s attention and to draw his or her attention to the research problem being investigated.

Create a Working Title Typically, the final title you submit to your professor is created after the research is complete so that the title accurately captures what was done . The working title should be developed early in the research process because it can help anchor the focus of the study in much the same way the research problem does. Referring back to the working title can help you reorient yourself back to the main purpose of the study if you feel yourself drifting off on a tangent while writing. The Final Title Effective titles in academic research papers have several characteristics.

• Indicate accurately the subject and scope of the study.
• Avoid using abbreviations.
• Use words that create a positive impression and stimulate reader interest.
• Use current nomenclature from the field of study.
• Identify key variables, both dependent and independent.
• May reveal how the paper will be organized.
• Suggest a relationship between variables which supports the major hypothesis.
• Is limited to 10 to 15 substantive words.
• Do not include "study of," "analysis of" or similar constructions.
• Titles are usually in the form of a phrase, but can also be in the form of a question.
• Use correct grammar and capitalization with all first words and last words capitalized, including the first word of a subtitle. All nouns,  pronouns, verbs, adjectives, and adverbs that appear between the first and last words of the title are also capitalized.
• In academic papers, rarely is a title followed by an exclamation mark. However, a title or subtitle can be in the form of a question.

The Subtitle Subtitles are quite common in social science research papers. Examples of why you may include a subtitle:

• Explains or provides additional context , e.g., "Linguistic Ethnography and the Study of Welfare Institutions as a Flow of Social Practices: The Case of Residential Child Care Institutions as Paradoxical Institutions."
• Adds substance to a literary, provocative, or imaginative title , e.g., "Listen to What I Say, Not How I Vote: Congressional Support for the President in Washington and at Home."
• Qualifies the geographic scope of the research , e.g., "The Geopolitics of the Eastern Border of the European Union: The Case of Romania-Moldova-Ukraine."
• Qualifies the temporal scope of the research , e.g., "A Comparison of the Progressive Era and the Depression Years: Societal Influences on Predictions of the Future of the Library, 1895-1940."
• Focuses on investigating the ideas, theories, or work of a particular individual , e.g., "A Deliberative Conception of Politics: How Francesco Saverio Merlino Related Anarchy and Democracy."

Balch, Tucker. How to Compose a Title for Your Research Paper . Augmented Trader blog. School of Interactive Computing, Georgia Tech University;  Choosing the Proper Research Paper Titles . AplusReports.com, 2007-2012; General Format. The Writing Lab and The OWL. Purdue University.

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6 Important Tips on Writing a Research Paper Title

When you are searching for a research study on a particular topic, you probably notice that articles with interesting, descriptive research titles draw you in. By contrast, research paper titles that are not descriptive are usually passed over, even though you may write a good research paper with interesting contents. This shows the importance of coming up with a good title for your research paper when drafting your own manuscript.

Importance of a Research Title

The research title plays a crucial role in the research process, and its importance can be summarized as follows:

Why do Research Titles Matter?

Before we look at how to title a research paper, let’s look at a research title example that illustrates why a good research paper should have a strong title.

Imagine that you are researching meditation and nursing, and you want to find out if any studies have shown that meditation makes nurses better communicators.  You conduct a keyword search using the keywords “nursing”, “communication”, and “meditation.” You come up with results that have the following titles:

• Benefits of Meditation for the Nursing Profession: A Quantitative Investigation
• Why Mindful Nurses Make the Best Communicators
• Meditation Gurus
• Nurses on the Move: A Quantitative Report on How Meditation Can Improve Nurse Performance

All four of these research paper titles may describe very similar studies—they could even be titles for the same study! As you can see, they give very different impressions.

• Title 1 describes the topic and the method of the study but is not particularly catchy.
• Title 2 partly describes the topic, but does not give any information about the method of the study—it could simply be a theoretical or opinion piece.
• Title 3 is somewhat catchier but gives almost no information at all about the article.
• Title 4 begins with a catchy main title and is followed by a subtitle that gives information about the content and method of the study.

As we will see, Title 4 has all the characteristics of a good research title.

Characteristics of a Good Research Title

According to rhetoric scholars Hairston and Keene, making a good title for a paper involves ensuring that the title of the research accomplishes four goals as mentioned below:

• It should predict the content of the research paper .
• It should be interesting to the reader .
• It should reflect the tone of the writing .
• It should contain important keywords that will make it easier to be located during a keyword search.

Let’s return to the examples in the previous section to see how to make a research title.

As you can see in the table above, only one of the four example titles fulfills all of the criteria of a suitable research paper title.

Related: You’ve chosen your study topic, but having trouble deciding where to publish it? Here’s a comprehensive course to help you identify the right journal .

Tips for Writing an Effective Research Paper Title

When writing a research title, you can use the four criteria listed above as a guide. Here are a few other tips you can use to make sure your title will be part of the recipe for an effective research paper :

• Make sure your research title describes (a) the topic, (b) the method, (c) the sample, and (d) the results of your study. You can use the following formula:

[ Result ]: A [ method ] study of [ topic ] among [ sample ] Example : Meditation makes nurses perform better: a qualitative study of mindfulness meditation among German nursing students

• Avoid unnecessary words and jargons. Keep the title statement as concise as possible. You want a title that will be comprehensible even to people who are not experts in your field. Check our article for a detailed list of things to avoid when writing an effective research title .
• Make sure your title is between 5 and 15 words in length.
• If you are writing a title for a university assignment or for a particular academic journal, verify that your title conforms to the standards and requirements for that outlet. For example, many journals require that titles fall under a character limit, including spaces. Many universities require that titles take a very specific form, limiting your creativity.
• Use a descriptive phrase to convey the purpose of your research efficiently.
• Most importantly, use critical keywords in the title to increase the discoverability of your article.

Resources for Further Reading

In addition to the tips above, there are many resources online that you can use to help write your research title. Here is a list of links that you may find useful as you work on creating an excellent research title:

• The University of Southern California has a guide specific to social science research papers: http://libguides.usc.edu/writingguide/title
• The Journal of European Psychology Students has a blog article focusing on APA-compliant research paper titles: http://blog.efpsa.org/2012/09/01/how-to-write-a-good-title-for-journal-articles/
• This article by Kristen Hamlin contains a step-by-step approach to writing titles: http://classroom.synonym.com/choose-title-research-paper-4332.html

Are there any tips or tricks you find useful in crafting research titles? Which tip did you find most useful in this article? Leave a comment to let us know!

• Hairston, M., & Keene, M. 2003. Successful writing . 5th ed. New York: Norton.
• University of Southern California. 2017. Organizing your social sciences research paper: choosing a title . [Online] Available at: http://libguides.usc.edu/writingguide/title

Thank you so much:) Have a nice day!

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Thank you for the excellent article and tips for creating a research work, because I always forget about such an essential element as the keywords when forming topics. In particular, I have found a rapid help with the formation of informative and sound titles that also conforms to the standards and requirements.

I am doing a research work on sales girls or shop girls using qualititative method. Basicly I am from Pakistan and writing on the scenario of mycountry. I am really confused about my research title can you kindly give some suggestions and give me an approperaite tilte

Hi Zubair, Thank you for your question. However, the information you have provided is insufficient for drafting an appropriate title. Information on what exactly you intend to study would be needed in order to draft a meaningful title. Meanwhile, you can try drafting your own title after going through the following articles our website: https://www.enago.com/academy/top-10-tips-on-choosing-an-attractive-research-title/ , https://www.enago.com/academy/writing-a-good-research-title-things-to-avoid/ , https://www.enago.com/academy/write-irresistible-research-paper-title/ We would be happy to give you feedback and suggest changes if required. Did you get a chance to install our free Mobile App? https://www.enago.com/academy/mobile-app/ . Make sure you subscribe to our weekly newsletter https://www.enago.com/academy/subscribe-now/ .

thanks for helping me like this!!

Thank you for this. It helped me improve my research title. I just want to verify to you the title I have just made. “Ensuring the safety: A Quantitative Study of Radio Frequency Identification system among the selected students of ( school’s name ).

(I need your reply asap coz we will be doing the chap. 1 tomorrow. Thank u in advance. 🙂 )

I am actually doing a research paper title. I want to know more further in doing research title. Can you give me some tips on doing a research paper?

Hi Joan, Thank you for your question. We are glad to know that you found our resources useful. Your feedback is very valuable to us. You can try drafting your own title after going through the following articles on our website: https://www.enago.com/academy/top-10-tips-on-choosing-an-attractive-research-title/ , https://www.enago.com/academy/writing-a-good-research-title-things-to-avoid/ , https://www.enago.com/academy/write-irresistible-research-paper-title/

We would be happy to give you feedback and suggest changes if required. Did you get a chance to install our free Mobile App? https://www.enago.com/academy/mobile-app/ . Make sure you subscribe to our weekly newsletter https://www.enago.com/academy/subscribe-now/ .

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Thanks for sharing this tips. Title matters a lot for any article because it contents Keywords of article. It should be eye-catchy. Your article is helpful to select title of any article.

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i’m found in selecting my ma thesis title ,so i’m going to do my final research after the proposal approved. Your post help me find good title.

I need help. I need a research title for my study about early mobilization of the mechanically ventilated patients in the ICU. Any suggestions would be highly appreciated.

Thank you for posting your query on the website. When writing manuscripts, too many scholars neglect the research title. This phrase, along with the abstract, is what people will mostly see and read online. Title research of publications shows that the research paper title does matter a lot. Both bibliometrics and altmetrics tracking of citations are now, for better or worse, used to gauge a paper’s “success” for its author(s) and the journal publishing it. Interesting research topics coupled with good or clever yet accurate research titles can draw more attention to your work from peers and the public alike. You can check through the following search results for titles on similar topics: https://www.google.com/search?q=early+mobilization+of+the+mechanically+ventilated+patients+in+the+icu&rlz=1C1GCEU_enIN907IN907&oq=&aqs=chrome.0.69i59.4920093j0j7&sourceid=chrome&ie=UTF-8 .

We hope this would be helpful in drafting an attractive title for your research paper.

Please let us know in case of any other queries.

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In case the topic is new research before you’re writing. And then to stand out, you end up being different.and be inclined to highlight yourself.

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Title, Abstract and Keywords

The importance of titles.

The title of your manuscript is usually the first introduction readers (and reviewers) have to your work. Therefore, you must select a title that grabs attention, accurately describes the contents of your manuscript, and makes people want to read further.

An effective title should:

• Convey the  main topics  of the study
• Highlight the  importance  of the research
• Be  concise
• Attract  readers

Writing a good title for your manuscript can be challenging. First, list the topics covered by the manuscript. Try to put all of the topics together in the title using as few words as possible. A title that is too long will seem clumsy, annoy readers, and probably not meet journal requirements.

Does Vaccinating Children and Adolescents with Inactivated Influenza Virus Inhibit the Spread of Influenza in Unimmunized Residents of Rural Communities?

This title has too many unnecessary words.

Influenza Vaccination of Children: A Randomized Trial

This title doesn’t give enough information about what makes the manuscript interesting.

Effect of Child Influenza Vaccination on Infection Rates in Rural Communities: A Randomized Trial This is an effective title. It is short, easy to understand, and conveys the important aspects of the research.

Think about why your research will be of interest to other scientists. This should be related to the reason you decided to study the topic. If your title makes this clear, it will likely attract more readers to your manuscript. TIP: Write down a few possible titles, and then select the best to refine further. Ask your colleagues their opinion. Spending the time needed to do this will result in a better title.

Abstract and Keywords

The Abstract is:

• A  summary  of the content of the journal manuscript
• A time-saving  shortcut  for busy researchers
• A guide to the most important parts of your manuscript’s written content

Many readers will only read the Abstract of your manuscript. Therefore, it has to be able to  stand alone . In most cases the abstract is the only part of your article that appears in indexing databases such as Web of Science or PubMed and so will be the most accessed part of your article; making a good impression will encourage researchers to read your full paper.

A well written abstract can also help speed up the peer-review process. During peer review, referees are usually only sent the abstract when invited to review the paper. Therefore, the abstract needs to contain enough information about the paper to allow referees to make a judgement as to whether they have enough expertise to review the paper and be engaging enough for them to want to review it.

Your Abstract should answer these questions about your manuscript:

• What was done?
• Why did you do it?
• What did you find?
• Why are these findings useful and important?

Answering these questions lets readers know the most important points about your study, and helps them decide whether they want to read the rest of the paper. Make sure you follow the proper journal manuscript formatting guidelines when preparing your abstract.

TIP: Journals often set a maximum word count for Abstracts, often 250 words, and no citations. This is to ensure that the full Abstract appears in indexing services.

Keywords  are a tool to help indexers and search engines find relevant papers. If database search engines can find your journal manuscript, readers will be able to find it too. This will increase the number of people reading your manuscript, and likely lead to more citations.

However, to be effective, Keywords must be chosen carefully. They should:

• Represent  the content of your manuscript
• Be  specific  to your field or sub-field

Manuscript title:  Direct observation of nonlinear optics in an isolated carbon nanotube

Poor keywords:  molecule, optics, lasers, energy lifetime

Better keywords:  single-molecule interaction, Kerr effect, carbon nanotubes, energy level structure

Manuscript title:  Region-specific neuronal degeneration after okadaic acid administration Poor keywords:  neuron, brain, OA (an abbreviation), regional-specific neuronal degeneration, signaling

Better keywords:  neurodegenerative diseases; CA1 region, hippocampal; okadaic acid; neurotoxins; MAP kinase signaling system; cell death

Manuscript title:  Increases in levels of sediment transport at former glacial-interglacial transitions

Poor keywords:  climate change, erosion, plant effects Better keywords:  quaternary climate change, soil erosion, bioturbation

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The Principles of Biomedical Scientific Writing: Title

Zahra bahadoran.

1 Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Parvin Mirmiran

2 Department of Clinical Nutrition and Human Dietetics, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Khosrow Kashfi

3 Department of Molecular, Cellular and Biomedical Sciences, Sophie Davis School of Biomedical Education, City University of New York School of Medicine, New York, United States

Asghar Ghasemi

4 Endocrine Physiology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

The title of a paper is “like a hat on a head or the front door to a house” and its initial impression. Writing a good and effective title makes the paper more retrievable by search engines and maximizes its impact in the scientific community. The paper’s title presents what has been studied, how it has been done, and what are the major results. A well-written title is balanced for being informative and concise, as well as attractively conveying the main topic, highlighting the importance of the study. For writing a good title, it should be drafted correctly, accurately, carefully, and meticulously by the main study keywords. By removing extra and unspecific words, the final title should be unambiguous, memorable, captivating, and informative. Here, we provided an overview of the importance and function of the title as well as different types of titles in scientific medical writing. We also focused on the content and organization of the title of a hypothesis-testing paper. In addition, the features of a good title were discussed.

The title is the “single most important line of a publication” ( 1 ). Although the title is a very small part of a research paper, it plays an important role in connecting the writer with potential readers. It also determines whether the paper is read or not ( 2 ). The title of a paper acts as a billboard, a descriptor, an advertisement ( 3 ), or a trailer for the movie ( 4 ). For every person who reads the whole paper, about 500 people only read the title, indicating that the majority of the papers are read by title alone ( 5 ). The title can influence the first impression of the work during the pre-publication process that occurs in the peer-review, as well as the post-publication process, which affects both dissemination and citations ( 3 , 6 ). Therefore, writing an effective title is an important step in scientific writing.

A good title provides a reconciliation between being attractive and being informative ( 4 ); it means that the title should motivate the readers to read an article, give them a summary of the contents, and provide an overview of the topics and findings ( 7 ). A well-written title will help other researchers to find the paper more easily ( 8 ), whereas a poorly written one may make a paper difficult to be retrieved by search engines, discourage readers to go through the text, and reduce an article’s impact ( 9 ). There are examples where journals have withdrawn a published paper because of it having a wrong title ( 10 ), a misleading or an inaccurate title ( 11 , 12 ), or for misuse of words within the title ( 13 ).

Following our previous reports on how to write and construct an introduction ( 14 ), materials and methods ( 15 ), results ( 16 ), and discussion ( 17 ) as sections of a scientific paper, here, we provided an overview of the importance and function of the title. We also focused on different types of titles that are commonly used in scientific and biomedical writings, in particular highlighting the function, content, and organization of the title in a hypothesis-testing paper.

2. Functions of the Title

The title of a biomedical scientific paper has two main functions ( 18 , 19 ): (1) to present the main topic or the message of the paper (the answer to the question) and (2) to attract potential readers and evoke their interest to read the paper. In fact, the title tells the readers what the paper is all about ( 6 , 19 ). The title also provides some keywords for further search ( 19 ) and facilitates the retrieval of the paper from bibliographic databases as this is used by the abstracting and documentation services in order to classify and index the paper ( 20 ).

3. Content of the Title

The main elements of a title include intervention, end-point or outcome, study population, and its specific conditions, design, and setting, which refers to a situation or a place that study was conducted at ( 21 ). The main elements in a hypothesis-testing paper, are (1) the independent variable(s) (X), (2) dependent variable(s) (Y), and (3) the study subjects (i.e. animal, population) or materials (i.e. culture media, cell line, tissue) (Z).

If important, the experimental approach and the condition of the animals/subjects during the study can also be included in the title ( 18 ). The specific organism or the biological system studied (e.g. animals, bacteria, cell culture) must always be included in the title ( 3 , 18 ). In case of humans, they are often removed from the title ( 3 , 18 ). It means that in biomedical journals, it is assumed that the species studied is human unless otherwise stated ( 3 ) and no population in the title indicates that the population is humans ( 18 ). However, if a subpopulation of humans was studied (e.g. patients who have asthma), that should be included in the title ( 18 ). Indication of the study setting (e.g. community-based, home-based, school-based, hospital-based, rural or urban setting) in the title is only important if the results are not generalizable to other settings, or if the setting reflects the magnitude of the research ( 21 ).

In descriptive papers, where a new structure is described, an important element of the title is to name that structure and its key function ( 18 ). In method papers, the name of the method (apparatus or material), its purpose, and the population where the method is used for are key elements of the title ( 18 ). According to the journal’s style or where appropriate, the study design may also be stated ( 8 ). This is especially true for randomized clinical trials, cohort, case-control, and cross-sectional studies ( 4 ). What this does is to alert the readers regarding the level of the evidence in the paper ( 4 ). Stating the study design in the title, usually located after a colon or an Em dash, makes the title more complete ( 21 ). Stating what type the review is (narrative, systematic or quantitative systematic) may also be helpful, especially for quantitative systematic reviews (meta-analysis) where a high level of evidence is suggested ( 4 ).

4. Organization of the Title

4.1. descriptive (neutral) titles.

Descriptive titles describe the subject of the paper but do not reveal the main conclusions ( 22 ) and are usually recommended as the best form of titles ( 23 ). Most of these contain all the elements of the research work (e.g. study population, intervention, study outcome, comparison) ( 21 , 23 ). In a hypothesis-testing paper, a descriptive title traditionally states the topic of the paper using its three essential pieces of information (dependent variable, independent variable, study subject or material), the so-called X, Y, and Z ( 18 ); e.g. a common form of such titles are “effect of X on Y in Z” (e.g. Effect of broccoli sprouts on insulin resistance in type 2 diabetic patients: a randomized double-blind clinical trial ( 24 )) or “Y during X in Z” (e.g. change of maternal serum triglycerides during third trimester of pregnancy in obese women). Usually, Z comes at the end of the title ( 18 ). Where there is no independent variable (X), the title would be Y in Z (e.g. dynamics of the chest wall in preterm infants) ( 18 ). If the study has several independent or dependent variables where they cannot be summarized under the general categories, it is advisable to select the most important ones ( 18 ) since these are new findings and should be presented in the title ( 25 ).

4.2. Declarative Titles

Declarative titles present the main conclusions or the actual message of the study ( 26 , 27 ). The message can be stated in a phrase or in a sentence ( 18 ). When the message is expressed in a phrase, an adjective or a noun (based on the verb used in the question and answer) or a combination of both are placed at the beginning of the title before the dependent variable; e.g. “reduced metabolic rate during radio-frequency irradiation in rats”, in which the message is expressed as an adjective, reduced ( 18 ). When the message is expressed in a sentence, a verb in the present tense is used; e.g. continuous positive airway pressure impairs renal function in anesthetized newborn goats ( 18 ). Using a sentence is stronger than using a phrase (because verbs convey an action more powerful than adjectives and nouns); therefore, it is used only when solid evidence supports a clear message ( 18 ). Some believe that using a sentence as a title overemphasize a conclusion and is best to be avoided ( 4 ).

In hypothesis-testing papers, the message of the paper can be stated in the title, where the message is strong and clear, and is supported by strong and solid evidence ( 18 , 23 ). Authors also need to be ensured that the title is true and is supported by the rest of the paper ( 28 ). When the title is a complete sentence, it conveys the impression that the study has reached a definite conclusion ( 19 ). e.g. “endothelium-derived relaxing factor produced and released from artery and vein is nitric oxide” ( 29 ).

Some believe that declarative titles would help authors to select a more appropriate paper during their search ( 27 ). For some types of papers such as commentaries, journals (e.g. obstetrics and gynecology) may push the authors to write a declarative title regarding the commentary’s main argument(s). Declarative titles give the impression that the findings of the study have general validity, which rarely is the case ( 26 ). Editors are, therefore, more cautious in accepting declarative titles due to its possible impact on public health ( 22 ) and some journals do not accept declarative titles (e.g. New England Journal of Medicine) ( 26 ). In addition, in case of choosing a declarative title, authors need to ask themselves will the title kill the curiosity? Will the readers lose motivation and interest to read the full article? ( 23 ).

Generally, the present tense in the title emphasizes the general validity of the results whereas the past tense indicates that the results are not established knowledge yet. To state results of a single investigation past tense and for results of a systematic review present tense should be used ( 27 ).

4.3. Interrogative Titles

To make a title more attractive, an interrogative form, which phrases the subject of the paper in the form of a question, can be used ( 30 ). However, in hypothesis-testing papers, interrogative titles are not recommended ( 31 ), because the reader would appreciate being told the answer from the beginning ( 30 ). An interrogative title may be appropriate for a review article, where the controversial issues are being discussed in response to the study question ( 30 ); e.g. are shorter article titles more attractive for citations? Cross-sectional study of 22 scientific journals ( 32 ). Interrogative titles in general lead to more paper down-loads but may result in fewer citations ( 22 ).

4.4. Compound Titles

Compound titles (or hanging titles) contain the main title and a subtitle ( 23 ) that are separated by a colon (:) ( 18 ). Compound titles can be started with a short question, a subject sentence, or a noun phrase, followed by a colon and a declarative sentence or a question ( 22 ). These types of titles are used to provide additional relevant information (e.g. about the study design, geographic or temporal scope of the research) or to add substance to a provocative area ( 23 ); e.g. developmental origins of type 2 diabetes: focus on epigenetics ( 33 ). They are useful for complex studies ( 19 ) and series papers ( 18 ). Using subtitles is not recommended except for putting an important word first ( 18 ). Papers with subtitles seem to be more attractive and are less likely to be rejected ( 34 ). In a compound title, the main part (main title) should be standalone ( 4 ).

4.5. Other Types of Title

Other styles, less commonly used to organize the title, are “indicating the direction of the author’s opinion”, “emphasizing the methodology used in the research”, “suggesting guidelines”, or “making a comparison” ( 35 ). To get more attention, the use of “effective opening”, “alliteration”, “irony”, “puns”, “humor” or “mystifying” ( 35 ) may also be used. However, the latter styles do help the paper grab readers’ attention, the authors need to ensure they will be understood and appreciated by all readers and are culturally appropriate ( 23 ). One example of referring to a parable in the title is: challenges for measuring oxytocin: the blind men and the elephant? ( 36 ), in which the subtitle refers to the parable of the 6 blind men and the elephant.

5. The Procedure of Writing an Effective Title

Although it is the first section of a paper that is seen ( 3 , 6 , 19 ), title is drawn from other sections of paper ( 3 ) and the final title is usually written as the last part ( 19 ). Good titles are created with care and craft ( 4 ). Writing a good title needs a back-and-forth process by continuous going back to the text with a sharper focus on what the paper is trying to say ( 35 ).

As shown in Figure 1 , a stepwise process is suggested to be followed to draft a title. What the authors need to do in the first step is to consider the manuscript entirely and then try to describe the content of the paper using essential keywords and phrases. Then, they need to make a sentence by the selected keywords and then remove redundant and nonspecific words/adjectives ( 20 ). The keywords used in the title should be the same as that used in the question and answer in the introduction, discussion, and abstract ( 18 ). The initial title must then be reviewed, refined and finally checked for having features of an effective final title. The title should not be hastily finalized; making a consultation with colleagues to get their opinion and possible suggestions can help improve the title ( 23 ). The authors are highly recommended to adhere to the style of the journal that they are submitting to e.g. word count, other instructions such as acceptable types of title (declarative and interrogative ones are unacceptable by some), use of capital letters, hyphens, colon, etc.

6. Features of a Suitable Title

In addition to highlighting the subject matter (be informative), the title of the paper should be eye-catching (be attractive) ( 25 , 37 ). The most important concept should be placed at or near the beginning of the title (where it most readily catches the reader’s eye) ( 25 ). Table 1 describes the features of a good title. In brief, a well-written title should be attractive and engaging ( 4 , 6 , 26 ), comprehensive ( 8 , 37 ), accurate ( 18 ), sufficiently descriptive ( 37 ), complete ( 18 ), informative ( 3 , 4 , 6 , 8 ), and specific ( 4 , 18 , 37 ) as well as be concise ( 3 , 4 , 6 , 8 , 18 , 26 , 37 ), clear (unambiguous) ( 3 , 18 ) and begins with an important term ( 3 , 18 ). The title should not be too general ( 19 , 31 ) or too-detailed ( 31 ), be misleading or unrepresentative ( 26 ), omit major elements ( 19 ), or include unnecessary details ( 19 ).

7. Length of the Title

Although longer titles may provide more information regarding the content, they reduce the interest generated ( 39 ). A short title is easier to understand and can attract a wider readership and increase the influence of the paper ( 40 ). Therefore, the authors are advised to make the title as short as possible without sacrificing accuracy, completeness, specificity, and clarity ( 18 ). High-impact journals usually restrict the length of their papers’ titles ( 40 ).

Try to keep your title shorter than 100 characters (i.e. letters and punctuation marks), including spaces (120 characters are considered the upper limit) ( 18 ). As the rule of thumb, 10 - 12 words may be the ideal length of a paper ( 41 ) and the title should not be more than 12 words ( 31 ).

8. Word Choice in the Title

In addition to being relevant to the target audience ( 3 ), every word (excluding articles e.g. the, a, an, and prepositions e.g. to, about, on) used in the title should add significance ( 28 ). Words in the title need to be checked by Medical Subjects Headings (MeSH) ( 31 ). Using study keywords to formulate a title is highly recommended. Using the most important keywords in the title is essential for appropriate indexing purposes and for retrieval by search engines and available databases ( 38 ). Indexing services (e.g. PubMed) and search engines (e.g. Google) use keywords and terms in the title ( 3 , 6 ). Titles should not start with a numeral, or expressions like “a study of”, “a contribution to”, “investigations on” or “some interesting” ( 20 ). “Influence of” does not evoke much curiosity and if possible should be avoided ( 25 ).

Generally, the use of neutral words (e.g. inquiry, analysis, evaluation, assessment, etc.), that give no information to the readers, is not recommended ( 28 ). However, in some cases, these words may be necessary to inform the scope, intent, or type of a study ( 42 ). Although the use of catchy phrases or non-specific language is not recommended in academic writing, they can be used within the context of the study ( 42 ).

Adjectives (e.g. increased) that modify quantitative words (e.g. metabolic rate) are different from those (e.g. improved) that modify qualitative words (e.g. performance) ( 18 ). Some adjectives such as “novel” or “innovative” need to be replaced by more explicit adjectives to explain to the readers what makes the study novel ( 28 ); e.g. “A noninvasive method of predicting pulmonary-capillary wedge pressure” ( 43 ) or “An ultrasound method for safe and rapid central venous access” ( 44 ). If possible, replace long words with short ones ( 26 ). Try to avoid gerunds (verb forms that end in -ing) in the title as the actor is obscured ( 31 ). Avoid using generic terms such as animal, bacteria, or antibiotic as key terms ( 3 ).

Abbreviations confuse readers and usually are not used by indexing services ( 3 ). In some situations, e.g. long or technical terms in scientific writings, the use of abbreviations can be useful ( 21 ). Using abbreviations that appear as word entries in Webster’s Collegiate Dictionary ( 21 ), are better known than their words (e.g. DNA, AIDS, and FDA) ( 3 , 18 ), or abbreviations for chemicals (e.g. N 2 O 5 ), are acceptable in the title ( 18 ).

9. Word Order in the Title

Paying attention to syntax (word order) in the title is important because it can influence the reader’s interest in the paper ( 3 ). Generally, words at the beginning of the title make the most impact ( 20 ). Put an important word (e.g. independent or dependent variables) first in the title to attract readers ( 3 , 18 , 25 , 26 ). What you want to be emphasized as the primary subject matter i.e. the key concept of the paper needs to appear first and near the beginning of the title ( 3 , 25 ). Because search engines such as Google, typically show only the first 6 - 7 words of a title, most associated terms should, therefore, appear earlier ( 3 ). Using a subtitle (to state-specific topic) following the main title (to state general topic) is a technique for putting an important word or phrase first in the title ( 18 ); e.g. “Holistic review: shaping the medical profession one applicant at a time” ( 45 ) or “Medical school admissions: applicant projections revisited” ( 46 ).

10. Use of Preposition in the Title

A preposition is a word or a group of words used before a noun, pronoun, or noun phrase to show direction, time, place, location, spatial relationships, or to introduce an object. Correct use of prepositions in the title makes it more clear and helps the reader to understand how the title elements are related to each other ( 28 ). Typical prepositions used in the title, are by (to indicate how something is done), for (referring to a purpose), from (referring to the origin of something), in (referring to a location), of (belonging to or regrading) ( 28 ).

11. Running Title

To identify the articles in a journal, short phrases called running titles (running heads) appear at the top or bottom of every page or every other page ( 6 , 18 ). Running titles are short versions of the title ( 6 , 18 ) and help readers to keep track of the article throughout its printed pages ( 21 ). As running titles mostly cannot be longer than 50 characters (including the spaces), authors are recommended to use standard abbreviations and omit the study design ( 21 ). In hypothesis-testing papers, the running title usually names independent and dependent variables ( 18 ). The form “X and Y”, which is unspecific for the title can be used for the running title ( 18 ).

12. Title and Paper Citation

A well-organized title is positively associated with paper citation ( 47 ). Some studies have addressed how the feature and structure of a title can affect pre- and post-publication manuscript success ( 9 ). Association of title’s length and citation of the paper has remained inconclusive ( 47 , 48 ), however, papers with shorter titles ( 40 ) especially when presenting study conclusion ( 49 ) receive more citations ( 40 ). Analysis of published papers in the Lancet journal showed that titles with two components separated by a colon were significantly more common in the well-cited papers ( 47 ). Titles emphasizing broader conceptual or comparative issues get more attention than those being more specific (e.g. use of particular genus or species by their taxonomic name in the title) ( 9 ). Some factors such as referring to a specific country or geographical region may also lead to poor citation of the paper ( 47 , 49 ). Other factors such as punctuations and use of acronyms can also affect the citation rate of a paper ( 47 ). Use of “colon”, “hyphen” and “comma” was most frequent whereas “semi-colon”, “dash” and “single quotation marks” were least frequent punctuation marks in top-cited papers ( 50 ).

13. Conclusions

The essence of research is reflected in its title, which acts as a “signpost” for the main topic of the paper ( 31 ). In addition to presenting the message of the paper, the title should evoke interest in reading the paper. Appropriate types of a title (e.g. descriptive, declarative, interrogative) should be selected by the authors and in all cases, the title should be accurate, unambiguous, interesting, concise, precise, unique, and should not be misleading. “The Title” should present the substance of the work in a clear way.

Authors' Contribution: Study concept and design: Zahra Bahadoran and Asghar Ghasemi; drafting of the manuscript: Zahra Bahadoran, Parvin Mirmiran, and Asghar Ghasemi; critical revision of the manuscript for important intellectual content: Khosrow Kashfi and Parvin Mirmiran.

Conflict of Interests: The authors have no conflict of interest.

Funding/Support: This study was supported by the Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences.

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How to write a good research paper title

“Unread science is lost science .”

Credit: Mykyta Dolmatov/Getty

“Unread science is lost science.”

28 July 2020

Mykyta Dolmatov/Getty

With the influx of publications brought on by the pandemic, it’s become more challenging than ever for researchers to attract attention to their work.

Understanding which elements of a title will attract readers – or turn them away – has been proven to increase a paper’s citations and Altmetric score .

“In the era of information overload, most students and researchers do not have time to browse the entire text of a paper,” says Patrick Pu , a librarian at the National University of Singapore.

“The title of a paper, together with its abstract, become very important to capture and sustain the attention of readers.”

1. A good title avoids technical language

Since the primary audience of a paper is likely to be researchers working in the same field, using technical language in the title seems to make sense.

But this alienates the wider lay audience, which can bring valuable attention to your work . It can also alienate inexperienced researchers, or those who have recently entered the field.

“A good title does not use unnecessary jargon,” says Elisa De Ranieri , editor-in-chief at the Nature Communications journal (published by Springer Nature, which also publishes Nature Index.) “It communicates the main results in the study in a way that is clear and accessible, ideally to non-specialists or researchers new to the field.”

How-to: When crafting a title, says De Ranieri, write down the main result of the manuscript in a short paragraph. Shorten the text to make it more concise, while still remaining descriptive. Repeat this process until you have a title of fewer than 15 words.

2. A good title is easily searchable

Most readers today are accessing e-journals, which are indexed in scholarly databases such as Scopus and Google Scholar.

“Although these databases usually index the full text of papers, retrieval weightage for ‘Title’ is usually higher than other fields, such as ‘Results’,” Pu explains.

At the National University of Singapore, Pu and his colleagues run information literacy programmes for editors and authors. They give advice for publishing best practice, such as how to identify the most commonly used keywords in literature searches in a given field.

“A professor once told us how he discovered that industry experts were using a different term or keyword to describe his research area,” says Pu.

“He had written a seminal paper that did not include this ‘industry keyword’. He believes his paper, which was highly cited by academics, would have a higher citation count if he had included this keyword in the title. As librarians, we try to highlight this example to our students so that they will consider all possible keywords to use in their searches and paper titles.”

How-to: Authors should speak to an academic librarian at their institution to gain an understanding of keyword and search trends in their field of research. This should inform how the paper title is written.

3. A good title is substantiated by data

Authors should be cautious to not make any claims in the title that can’t be backed up by evidence.

“For instance, if you make a discovery with potential therapeutic relevance, the title should specify whether it was tested or studied in animals or humans/human samples,” says Irene Jarchum , senior editor at the journal Nature Biotechnology (also published by Springer Nature, which publishes the Nature Index.)

Jarchum adds that titles can be contentious because different authors have different views on the use of specific words, such as acronyms, or more fundamentally, what the main message of the title should be.

Some authors may over-interpret the significance of their preliminary findings, and want to reflect this in the title.

How-to: If you know your paper will be contentious within the scientific community, have the data ready to defend your decisions .

4. A good title sparks curiosity

A one-liner that sparks a reader’s interest can be very effective.

“A title has to pique the interest of the person searching for literature in a split-second – enough that they click on the title to read the abstract. Unread science is lost science,” says Christine Mayer , editor-in-chief of the journal Advanced Therapeutics .

Paper titles such as, "White and wonderful? Microplastics prevail in snow from the Alps to the Arctic" ( 2019 Science ), and “Kids these days: Why the youth of today seem lacking” ( 2019 Science Advances ) are good examples of this principle. Both papers have high Altmetric Attention scores, indicating that they have been widely read and discussed online.

How-to: Take note of the characteristics of paper titles that spark your own interest. Keep a record of these and apply the same principles to your own paper titles.

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How to Make a Research Paper Title with Examples

What is a research paper title and why does it matter?

A research paper title summarizes the aim and purpose of your research study. Making a title for your research is one of the most important decisions when writing an article to publish in journals. The research title is the first thing that journal editors and reviewers see when they look at your paper and the only piece of information that fellow researchers will see in a database or search engine query. Good titles that are concise and contain all the relevant terms have been shown to increase citation counts and Altmetric scores .

Therefore, when you title research work, make sure it captures all of the relevant aspects of your study, including the specific topic and problem being investigated. It also should present these elements in a way that is accessible and will captivate readers. Follow these steps to learn how to make a good research title for your work.

How to Make a Research Paper Title in 5 Steps

You might wonder how you are supposed to pick a title from all the content that your manuscript contains—how are you supposed to choose? What will make your research paper title come up in search engines and what will make the people in your field read it? 

In a nutshell, your research title should accurately capture what you have done, it should sound interesting to the people who work on the same or a similar topic, and it should contain the important title keywords that other researchers use when looking for literature in databases. To make the title writing process as simple as possible, we have broken it down into 5 simple steps.

Step 1: Answer some key questions about your research paper

What does your paper seek to answer and what does it accomplish? Try to answer these questions as briefly as possible. You can create these questions by going through each section of your paper and finding the MOST relevant information to make a research title.

Step 2: Identify research study keywords

Now that you have answers to your research questions, find the most important parts of these responses and make these your study keywords. Note that you should only choose the most important terms for your keywords–journals usually request anywhere from 3 to 8 keywords maximum.

Step 3: Research title writing: use these keywords

“We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how waiting list volume affects the outcomes of liver transplantation in patients; results indicate a positive correlation between increased waiting list volume and negative prognosis after the transplant procedure.”

The sentence above is clearly much too long for a research paper title. This is why you will trim and polish your title in the next two steps.

Step 4: Create a working research paper title

To create a working title, remove elements that make it a complete “sentence” but keep everything that is important to what the study is about. Delete all unnecessary and redundant words that are not central to the study or that researchers would most likely not use in a database search.

“ We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how the waiting list volume affects the outcome of liver transplantation in patients ; results indicate a positive correlation between increased waiting list volume and a negative prognosis after transplant procedure ”

Now shift some words around for proper syntax and rephrase it a bit to shorten the length and make it leaner and more natural. What you are left with is:

“A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcome of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 38)

This text is getting closer to what we want in a research title, which is just the most important information. But note that the word count for this working title is still 38 words, whereas the average length of published journal article titles is 16 words or fewer. Therefore, we should eliminate some words and phrases that are not essential to this title.

Step 5: Remove any nonessential words and phrases from your title

Because the number of patients studied and the exact outcome are not the most essential parts of this paper, remove these elements first:

 “A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcomes of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 19)

In addition, the methods used in a study are not usually the most searched-for keywords in databases and represent additional details that you may want to remove to make your title leaner. So what is left is:

“Assessing the impact of waiting list volume on outcome and prognosis in liver transplantation patients” (Word Count: 15)

In this final version of the title, one can immediately recognize the subject and what objectives the study aims to achieve. Note that the most important terms appear at the beginning and end of the title: “Assessing,” which is the main action of the study, is placed at the beginning; and “liver transplantation patients,” the specific subject of the study, is placed at the end.

This will aid significantly in your research paper title being found in search engines and database queries, which means that a lot more researchers will be able to locate your article once it is published. In fact, a 2014 review of more than 150,000 papers submitted to the UK’s Research Excellence Framework (REF) database found the style of a paper’s title impacted the number of citations it would typically receive. In most disciplines, articles with shorter, more concise titles yielded more citations.

Adding a Research Paper Subtitle

If your title might require a subtitle to provide more immediate details about your methodology or sample, you can do this by adding this information after a colon:

“ : a case study of US adult patients ages 20-25”

If we abide strictly by our word count rule this may not be necessary or recommended. But every journal has its own standard formatting and style guidelines for research paper titles, so it is a good idea to be aware of the specific journal author instructions , not just when you write the manuscript but also to decide how to create a good title for it.

Research Paper Title Examples

The title examples in the following table illustrate how a title can be interesting but incomplete, complete by uninteresting, complete and interesting but too informal in tone, or some other combination of these. A good research paper title should meet all the requirements in the four columns below.

Tips on Formulating a Good Research Paper Title

In addition to the steps given above, there are a few other important things you want to keep in mind when it comes to how to write a research paper title, regarding formatting, word count, and content:

• Write the title after you’ve written your paper and abstract
• Include all of the essential terms in your paper
• Keep it short and to the point (~16 words or fewer)
• Avoid unnecessary jargon and abbreviations
• Use keywords that capture the content of your paper
• Never include a period at the end—your title is NOT a sentence

Research Paper Writing Resources

We hope this article has been helpful in teaching you how to craft your research paper title. But you might still want to dig deeper into different journal title formats and categories that might be more suitable for specific article types or need help with writing a cover letter for your manuscript submission.

In addition to getting English proofreading services , including paper editing services , before submission to journals, be sure to visit our academic resources papers. Here you can find dozens of articles on manuscript writing, from drafting an outline to finding a target journal to submit to.

What Makes a Good Research Article Title?

What-makes-a-good-research-article-title.

Helen Eassom, Copywriter, Wiley

November 16, 2017

Your title is your first opportunity to draw in readers, so you must ensure that it makes an impact. Compared to the work you put in to the full paper, the title may feel like an afterthought, but creating a good title is essential to maximizing the reach of your article.

Your final title should do several things to draw readers into your article. Consider these basics of title creation to come up with a few ideas:

• Limit yourself to 10 to 20 substantial words.
• Devise a phrase or ask a question.
• Make a positive impression of the article.
• Use current terminology in your field of study.
• Stimulate reader interest.

A good research article title offers a brief explanation of the article before you delve into specifics. Before you get to a final title, you can start with a working title that gives you a main idea of what to focus on throughout your piece. Then you can come back to revise the title when you finish the article.

The Writing Process

As you write your research article, it can be useful to make a list of the questions that your article answers. For a broad topic, your article may answer 20 questions. If your subject is very narrow, you might come up with two or three questions. You can then use these questions to inform your research title.

Your article subject or hypothesis may also give you an idea for the final title, but so can your conclusion. As you write your research article from beginning to end, you draw several conclusions before answering your main idea or hypothesis. There's nothing wrong with using your conclusion as a title because your readers want to know how you derived the solution. A good research article title may actually be a spoiler, but that's a good thing. Once you have a draft title, you’ll need to take care of a few details to keep it interesting.

The Details

Take out any unnecessary words (such as ‘A Study of’, or ‘An Investigation of’) which don’t contribute any real meaning or value to your title. Avoid words or phrases that don't help your readers understand the context of your work, and ensure that your title gets to the real point of your article.

Your title needs to grab readers’ interest, so don't fear putting a little style into your article title. You can still avoid a boring title while getting to the point.

Don't make your title too short. The words "South American Politics" are clearly much too broad and don’t say what your research article entails. Rather, expand a bit to include more detail. Examine the title "South American Politics and Venezuelan Oil Clash with Brazil's Rain Forest Conservation Efforts”. The second title has more substance, keywords and enough meat to build interest.

Final Thoughts

Ask yourself a few questions that get to the heart of your article. What is the purpose of the research? What's the narrative tone of the article? What methods do you use to write the article? The purpose of your article provides the perfect lead-in to your conclusion. Meanwhile, your narrative tone depends on the point you make, such as delivering results of a paradigm-shifting study, breaking news of some major story or making a startling conclusion that no one expected.

A good article title represents the first impression people see of your work, so make sure you give your research the title it deserves!

How do you determine the title of your research article? Share your thoughts in the comments below .

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Writing a scientific paper.

• Writing a lab report

What is a "good" title?

"title checklist" from: how to write a good scientific paper. chris a. mack. spie. 2018., other hints for writing a title.

• INTRODUCTION
• LITERATURE CITED
• Bibliography of guides to scientific writing and presenting
• Peer Review
• Presentations
• Lab Report Writing Guides on the Web

The title will be read by many people. Only a few will read the entire paper, therefore all words in the title should be chosen with care. Too short a title is not helpful to the potential reader. However too long a title can sometimes be even less meaningful. Remember a title is not an abstract. Also a title is not a sentence.

Goals: • Fewest possible words that describe the contents of the paper. • Avoid waste words like "Studies on", or "Investigations on" • Use specific terms rather than general • Watch your word order and syntax • Avoid abbreviations and jargon

 The title should be clear and informative, and should reflect the aim and approach of the work.

 The title should be as specific as possible while still describing the full range of the work. Does the title, seen in isolation, give a full yet concise and specific indication of the work reported?

 Do not mention results or conclusions in the title.

 Avoid: overly clever or punny titles that will not fare well with search engines or international audiences; titles that are too short to be descriptive or too long to be read; jargon, acronyms, or trademarked terms. 

• Whenever possible, use a declarative rather than a neutral title
• Don't end your title with a question mark?
• Begin with the keywords
• Use verbs instead of abstract nouns
• Avoid abbrev. in the title

From: How to Write and Illustrate a Scientific Paper (2008)

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Research Title

Ai generator.

A research title is a succinct, informative phrase that encapsulates a study’s essence. It gives readers a clear indication of the research’s focus, scope, and significance. An effective research title is concise, specific, and engaging, incorporating key terms related to the primary subject matter. Crafting a well-thought-out research title is crucial as it influences first impressions and impacts the study’s visibility and accessibility. Additionally, a strong research title enhances the title page and ensures the research paper cover letter accurately reflects the study’s content.

What is Research Title?

A research title is a concise statement that clearly and precisely encapsulates the main topic, scope, and objective of a research study. It serves as the first point of contact for readers and should effectively communicate the essence of the research in a way that is both engaging and informative. A well-crafted research title is specific, descriptive, and reflective of the study’s core focus, helping to attract interest and provide a clear understanding of the research subject at a glance.

Research Title Format

A well-crafted research title follows a specific format to ensure clarity and precision. Here’s a structured approach:

[Main Topic]: [Specific Aspect or Focus]

Example: “The Impact of Social Media on Teen Mental Health: A Comprehensive Analysis of Behavioral Changes”

Examples of Research Titles

Here are some examples of well-crafted research titles across various fields:

• “The Effects of Bilingual Education on Cognitive Development in Early Childhood”
• “Assessing the Impact of Technology Integration on Student Engagement in High School Classrooms”
• “The Role of Genetics in the Development of Alzheimer’s Disease: A Meta-Analysis”
• “Evaluating the Efficacy of Telemedicine in Managing Chronic Diseases During the COVID-19 Pandemic”
• “The Impact of Urbanization on Local Wildlife Populations: A Case Study of Central Park”
• “Assessing the Effectiveness of Renewable Energy Policies in Reducing Carbon Emissions”
• “The Influence of Social Media on Political Participation Among Millennials”
• “Exploring the Relationship Between Socioeconomic Status and Academic Achievement in Urban Schools”
• “Analyzing the Effects of Corporate Social Responsibility on Consumer Behavior”
• “The Role of Microfinance in Alleviating Poverty in Developing Countries”
• “The Development and Impact of Artificial Intelligence on Workforce Automation”
• “Assessing the Safety and Efficiency of Autonomous Vehicles in Urban Areas”
• “The Representation of Gender Roles in 21st Century Cinema”
• “Exploring the Influence of Renaissance Art on Modern Aesthetic Values”
• “The Impact of Childhood Trauma on Adult Relationships: A Longitudinal Study”
• “Exploring the Effectiveness of Cognitive Behavioral Therapy in Treating Anxiety Disorders”
• “The Effectiveness of Vaccination Campaigns in Reducing the Spread of Infectious Diseases: A Global Perspective”
• “Sustainable Farming Practices and Their Impact on Soil Health: A Comparative Study of Organic and Conventional Methods”

Research Titles for Students

• The Impact of Online Learning on Student Performance in High School
• Exploring the Relationship Between Sleep Patterns and Academic Achievement Among College Students
• The Effects of Extracurricular Activities on Student Social Skills Development
• The Influence of Peer Pressure on High School Students’ Academic Choices
• Assessing the Benefits of Early Childhood Education Programs on Later Academic Success
• The Role of Nutrition and Diet in Enhancing Student Concentration and Memory
• Examining the Effectiveness of Study Groups in Improving Academic Performance in University Settings
• The Impact of Part-Time Employment on High School Students’ Academic Achievement and Time Management
• Exploring the Relationship Between Physical Activity and Mental Health Among College Students
• The Effects of School Uniform Policies on Student Behavior and Academic Outcomes

Qualitative Research Titles

• Exploring Student Perceptions of Remote Learning During the COVID-19 Pandemic
• The Lived Experiences of First-Generation College Students: Challenges and Triumphs
• Understanding Teacher Attitudes Towards Inclusive Education in Mainstream Classrooms
• The Impact of Parental Involvement on Student Motivation and Academic Success
• Exploring the Cultural Adaptation Experiences of International Students in American Universities
• The Role of Peer Support in Coping with Academic Stress Among High School Students
• Investigating the Influence of School Climate on Teacher Job Satisfaction and Retention
• The Effects of Community-Based Learning on Student Engagement and Civic Responsibility
• Understanding the Barriers to STEM Education for Female Students in Rural Areas
• Exploring the Experiences of Students with Learning Disabilities in Higher Education
• The Impact of School Leadership Styles on Teacher Morale and Performance
• The Role of Mentorship Programs in Supporting Minority Students in STEM Fields
• Exploring the Emotional and Social Impacts of Bullying on Middle School Students
• The Influence of Extracurricular Activities on Identity Development in Adolescents
• Understanding the Perspectives of Parents on Bilingual Education Programs

Quantitative Research Titles

• The Impact of Class Size on Student Academic Achievement in Elementary Schools
• Analyzing the Correlation Between Homework Frequency and Student Performance in Mathematics
• The Effects of School Funding on Standardized Test Scores in Public Schools
• Assessing the Relationship Between Attendance Rates and Graduation Rates in High Schools
• Evaluating the Effectiveness of Flipped Classrooms on Student Learning Outcomes
• The Influence of Parental Education Levels on Children’s Academic Success
• The Impact of Early Childhood Education on Literacy Rates in Primary School Students
• Comparing Academic Performance Between Students in Single-Sex and Coeducational Schools
• The Role of Technology in Enhancing Student Engagement in STEM Subjects
• Analyzing the Impact of Nutrition Programs on Student Health and Academic Performance
• The Relationship Between Physical Activity and Academic Achievement in High School Students
• Evaluating the Success of Mentorship Programs on College Retention Rates
• The Effects of Sleep Patterns on Academic Performance Among University Students
• Assessing the Impact of Socioeconomic Status on Access to Higher Education
• The Influence of Teacher Qualifications on Student Achievement in Science

Importance of a Research Title

A research title is a critical component of any research study or academic paper. It serves multiple important functions that contribute to the overall success and impact of the research. Here are key reasons why a research title is important:

1. First Impression

The research title is often the first element a reader encounters. A well-crafted title can create a strong first impression, attracting the reader’s attention and encouraging them to explore the study further.

2. Clarity and Focus

A good research title clearly and succinctly communicates the main topic and scope of the study. It helps the reader quickly understand what the research is about and what specific aspect is being addressed.

3. Guidance

The title provides guidance to the reader about the content and direction of the research. It sets expectations and helps readers decide if the paper is relevant to their interests or research needs.

4. Searchability

In the digital age, research titles are crucial for searchability. A precise and descriptive title improves the chances of the paper being found in online searches, databases, and academic journals, increasing its visibility and accessibility.

5. Academic and Professional Recognition

A well-formulated research title contributes to the academic and professional recognition of the work. It reflects the researcher’s ability to clearly define and articulate their study, which can enhance credibility and reputation within the academic community.

Characteristics of a Good Research Title

A good research title is essential for effectively communicating the main focus and scope of your study. Here are the key characteristics that make a research title effective:

• Clear and Understandable : The title should be easily understood by a broad audience, avoiding jargon or overly complex language.
• Direct : It should convey the main topic and scope of the research without ambiguity.

2. Conciseness

• Brevity : A good title is concise and to the point, typically no longer than 10-15 words.
• Essential Information : It includes only the most relevant information, omitting unnecessary words.

3. Specificity

• Focused : The title should clearly reflect the specific aspect or focus of the research.
• Detailed : It provides enough detail to give a clear sense of what the study entails.

4. Descriptiveness

• Informative : It accurately describes the content and scope of the study.
• Comprehensive : The title should give readers a good understanding of the research without needing to read the entire paper.

5. Keywords

• Relevant Keywords : Including key terms that are central to the research topic helps with searchability and indexing.
• SEO-Friendly : Using keywords that align with what potential readers might search for increases the paper’s visibility.

6. Engagement

• Interest : The title should be engaging and interesting, encouraging readers to want to learn more about the study.
• Appeal : It should appeal to the target audience, whether they are academics, practitioners, or the general public.

How to Write a Research Title?

A well-crafted research title is crucial as it provides the first impression of your study. It should be concise, informative, and engaging to capture the reader’s attention while conveying the essence of your research. Here’s a step-by-step guide on how to write an effective research title.

1. Understand the Purpose of the Title

The title should:

• Summarize the main topic of the research.
• Indicate the scope and focus of the study.
• Reflect the methodology used (if applicable).
• Attract the target audience’s interest.

2. Identify the Key Components

To create a comprehensive title, identify the following components of your research:

• Main topic : The primary subject or focus.
• Variables : Key elements or factors studied.
• Population/sample : The group or sample studied.
• Methodology : The approach or techniques used in the research.

3. Be Clear and Specific

Avoid vague and ambiguous terms. Be precise in describing your research. For example, instead of “Study of Education Methods,” use “Effectiveness of Interactive Learning Techniques in High School Biology.”

4. Keep It Concise

A good title is typically between 10 to 15 words. It should be long enough to include essential information but short enough to be easily readable.

5. Use Descriptive Words

Use words that describe the content and aim of your research effectively. Descriptive words help in making the title informative and engaging. Examples include “effects,” “analysis,” “evaluation,” “comparison,” etc.

6. Avoid Jargon and Abbreviations

Ensure that your title is accessible to a broad audience by avoiding technical jargon and abbreviations that might not be widely understood.

7. Consider the Audience

Think about who will be reading your research. Tailor your title to meet the expectations and interests of your target audience, whether they are academic peers, professionals, or the general public.

8. Reflect the Type of Study

Indicate whether the research is a review, case study, experiment, or theoretical analysis. This helps set the context for the reader. For example, “A Case Study on Renewable Energy Adoption in Urban Areas.”

9. Include Keywords

Incorporate relevant keywords that reflect the main themes of your research. This not only helps in search engine optimization but also makes your research easily discoverable.

10. Revise and Refine

Review your title for clarity, conciseness, and accuracy. Ask for feedback from peers or mentors to ensure it effectively represents your research.

FAQ’s

How should a research title be structured.

A research title should be clear, concise, and informative, often including the main variables, methods, and context of the study.

What are the key elements of a good research title?

Key elements include relevance, clarity, specificity, and the inclusion of main keywords related to the research topic.

Can a research title be a question?

Yes, a research title can be a question if it effectively conveys the research’s focus and intrigues the reader.

How long should a research title be?

A research title should be brief but descriptive, typically between 10 to 15 words, avoiding unnecessary jargon or overly complex terms.

Should a research title include keywords?

Yes, including keywords helps in indexing and searching, making it easier for others to find your research.

Can a research title change during the research process?

Yes, it can be refined or adjusted as the research progresses to better reflect the study’s findings and scope.

Should the research title reflect the research methodology?

It can, especially if the methodology is central to the study’s uniqueness or understanding, but it’s not always necessary.

How specific should a research title be?

A research title should be specific enough to give a clear idea of the study’s focus but not so detailed that it becomes cumbersome.

What makes a research title catchy?

A catchy research title is engaging, piques curiosity, and uses intriguing language while still being clear and informative.

Can humor be used in a research title?

Humor can be used if appropriate for the subject matter and audience, but it should not compromise clarity or professionalism.

Text prompt

• Instructive
• Professional

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How To Write A Research Paper

Research Paper Title

How to Write a Good Research Paper Title

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Published on: Jan 5, 2024

Last updated on: Jul 19, 2024

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In scholarly writing, the title plays a subtle yet pivotal role. Ever wondered how a simple string of words can make or break a research paper's impact?

Your research paper's title serves as the initial point of contact for your reader, forming their first impression of your work. Therefore, careful consideration of your title is crucial.

There are fundamental principles to bear in mind: your title should be informative, attention-grabbing, and contextually fitting. 

This guide provides a detailed view of these essential qualities, by looking at the steps to write a research paper title. We'll break down what makes a great title. 

So let’s get started!

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What is Research Paper Title, and Why is it Important?

A research paper title is a concise and informative heading that encapsulates the main theme or focus of a research study. It serves as the first point of contact between the reader and the research paper, providing a peek into the purpose of the study. 

It is important because the research paper title tells readers what the study is about almost instantly. 

A good title not only grabs attention but also helps in finding the research online. It shows the professionalism of the study and makes it easier for everyone to understand and engage with the research. 

So, a well-crafted title is like a guide that leads readers to the core of the research.

Characteristics of a Good Research Title

According to rhetoric scholars Hairston and Keene , creating an effective paper title involves achieving the goals outlined below:

• Content Preview: A good title gives a glimpse of the research content.
• Engagement Factor: An effective title sparks reader interest.
• Tone Alignment: It reflects the scholarly tone of the paper.
• Keyword Integration: Includes essential keywords for better searchability.
• Prioritize Clarity: Use clear, concise language for broad understanding.
• Embrace Conciseness: Keep titles brief, omitting unnecessary details.
• Ensure Specificity: Include unique details to distinguish the research.

With these 7 characteristics of a research title in mind, let's now explore the steps to craft an ideal research paper title.

How to Write a Research Paper Title in 5 Steps

In the following sections, we'll walk through a five-step process designed to help you create a title that is truly impressive. 

Step 1: Define the Core Elements of Your Research

Before crafting your research paper title, it's essential to answer key questions about your study. These questions help you identify the main focus and key components of your research paper. Consider:

• Research Topic: What is the primary subject of your study?
• Research Problem or Question: What issue are you addressing, or what question are you seeking to answer?
• Methodology: What methods or approaches did you use in your research?
• Results/Findings: What are the main outcomes of your study?

Step 2: Identify Essential Keywords

Identify significant keywords related to your research paper. These terms will play a crucial role in creating a title that effectively communicates your study's focus.

Step 3: Constructing a Research Title Using Keywords 

Combine the identified keywords into a concise and descriptive research paper title. Weave together the essential elements of your study while maintaining clarity and relevance.

The sentence above, describing the research on smoking cessation programs, is undoubtedly too lengthy for a research paper title . Therefore, the forthcoming steps will involve refining and succinctly polishing the title for clarity and conciseness.

Step 4: Develop a Working Research Title

To create a working title, remove elements that make it a complete sentence but keep everything important to the study. Delete unnecessary and redundant words not central to the research or likely excluded from a database search.

Original Working Title:

Refined Title:

Note: The goal is to shorten the title to 16 words or fewer, making it concise and effective for a research paper.

Step 5: Trim Unnecessary Words and Phrases

Remove any nonessential words and phrases from your title. The number of subjects studied and exact outcomes may not be crucial, and detailed methods can be omitted for conciseness. Focus on key terms for database search optimization.

Final Refined Title: 

Adding a Research Paper Subtitle

If your title needs additional details about your methodology or sample, consider adding a subtitle after a colon.

Research Paper Title Examples

Let's start by examining research title examples suitable for students. We will explore the basic formats for research paper title pages, including MLA and APA styles.

Research Paper Title Page MLA

Title Page For A Research Paper APA Style

Scientific Paper Title

Here are 5 examples of research titles for scientific papers:

Tips on Formulating a Good Research Paper Title

When creating a title for your research paper, consider the following general tips to capture the reader's attention and effectively convey the purpose of your study:

• Summarize your research in the fewest possible words to maintain clarity and reader engagement.
• Incorporate essential keywords that researchers working in your field are likely to use.
• Use compelling and attention-grabbing language to make your title stand out.
• Ensure your title accurately captures the purpose of your research, conveying the central question or objective.
• Clearly define the scope of the study in the title, indicating the specific focus of your research.
• Consider phrasing your title in the form of a question if it enhances the intrigue and aligns with the nature of your research.
• Prioritize readability and clarity to make your title easily understandable for a broad audience.
• Optimize your title for search engines by including relevant keywords that researchers might use when seeking similar studies.
• Minimize the use of field-specific jargon that may alienate readers unfamiliar with your subject.
• Ensure the title summarizes the core findings or contributions of your research.

Research Paper Title Checklist

Here's a checklist table to guide you on how to write a research paper title:

In conclusion , writing an effective research paper title is a vital skill that demands accuracy, clarity, and engagement. Prioritize conciseness and specificity while ensuring relevance to the research content. Remember to integrate essential keywords for enhanced searchability. 

If you find yourself struggling, fear not. CollegeEssay.org is here to assist. With a wealth of experience aiding scholars worldwide, our professional writing service ensures meticulously crafted titles that resonate with your research. 

Connect with our research paper writing service for expert assistance – let us elevate your paper's impact and resonance.

Can abbreviations or acronyms be used in the research paper title?

While sparingly acceptable, it's advisable to initially use full terms in the title for clarity. Introduce abbreviations later in the paper to avoid potential confusion for readers unfamiliar with the terms.

Is it advisable to formulate the research paper title as a question?

Crafting the title as a declarative statement is preferable. It provides a clear indication of the study's main focus and findings, enhancing reader engagement and comprehension.

Should the research paper title be in sentence case or title case?

Follow the specific style guidelines recommended by your institution or the publisher. Some styles prefer sentence case (where only the first word and proper nouns are capitalized), while others recommend title case (where major words are capitalized). Consistency is key to maintaining a polished appearance.

Is it permissible to change the research paper title after submission?

Post-submission changes to the title may be challenging, so it's crucial to carefully finalize and review the title before submitting the paper to avoid complications in the publication process.

Is it beneficial to include specific keywords in the research paper title?

Yes, incorporating keywords relevant to your study increases the discoverability of your research. It helps search engines, databases, and readers quickly identify the core themes of your paper.

John K. (Research)

John K. is a professional writer and author with many publications to his name. He has a Ph.D. in the field of management sciences, making him an expert on the subject matter. John is highly sought after for his insights and knowledge, and he regularly delivers keynote speeches and conducts workshops on various topics related to writing and publishing. He is also a regular contributor to various online publications.

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How to Write a Good Research Paper Title: Tips and Examples

Learn how to create good titles for research papers with our comprehensive guide. Discover tips, techniques, and examples to make your research stand out.

Kate Windsor

Jun 16, 2024

Writing a research paper is a crucial part of academic life, but crafting a compelling title can be just as important as the content itself. A good research paper title not only captures the essence of your work but also attracts potential readers and helps your paper stand out in a sea of academic literature. In this comprehensive guide, we'll explore the importance of good titles for research papers, provide tips on creating effective titles, and share examples to inspire your own title-writing process.

Understanding the Importance of a Research Paper Title

Why a good research paper title matters.

A suitable research paper title matters because:

a) It draws readers in and makes a research study stand out.

b) An effective research paper title is less likely to be overlooked.

c) It contributes to the professionalism and impact of the research.

According to a study by Jamali and Nikzad (2011), articles with shorter titles tend to be downloaded more often than those with longer titles. This highlights the importance of creating concise and engaging titles for your research papers.

Dr. John Smith, a renowned professor of psychology, states on research titles, "The title of a research paper is the first thing that readers, including peer reviewers and journal editors, will see. It's crucial to make a strong first impression with a clear, concise, and compelling title."

The role of a title in a research paper

A research title plays a critical role in the research process as it:

a) Facilitates the dissemination of knowledge.

b) Contributes to the professionalism and impact of the research.

c) Serves as a critical component of the overall research communication process.

Moreover, a well-crafted and good title or a good research title can increase the chances of your research paper being accepted for publication in your target journal or a reputable journal. Editors and reviewers often use the title as a first screening tool to determine the relevance and quality of the research.

Crafting a Compelling Research Paper Title

Identifying research study keywords for a strong title

Research titles matter. The best research paper title starts with:

a) Finding the most important parts of your research questions.

b) Choosing only the most important terms for your keywords.

c) Drawing 3 to 8 keywords maximum, avoiding very lengthy titles.

When selecting keywords for your research paper title, consider using tools like Google Keyword Planner or SEMrush to identify high-traffic, relevant keywords in your field of study.

Look at social science research papers or for example, looking at a research paper in the field of environmental science might have a title like: "The Impact of Deforestation on Biodiversity: A Meta-Analysis of Neotropical Rainforests." This title effectively uses keywords such as "deforestation," "biodiversity," and "Neotropical rainforests" to convey the main focus of the research.

Using keywords to create a working research paper title

Descriptive research titles draw keywords.

a) Use the identified keywords to create a research title

b) Ensure the title accurately captures what you have done

c) Keep the title concise and relevant

Easily pronounces technical words in any field

Characteristics of Effective Research Paper Titles

Key qualities of a good research paper title.

A good research title should have the elements below to make it stand out.

a) A good research title should be concise and to the point

b) Accurately reflects or the research title describes the content of the research paper.

c) Easy to understand and remember.

d) Unique and not easily confused with other research titles.

What makes a research paper title stand out

A good title should:

a. Predict the content of the research paper.

b. Be interesting to the reader.

c. Reflect the tone of the writing.

d. Contain important keywords for easier location during a keyword search.

Supporting Evidence:

A study by Habibzadeh and Yadollahie (2010) found that articles with questions in their titles are more likely to be cited than those without. Consider incorporating a question into your research paper title to pique readers' curiosity and encourage engagement.

For instance, a research paper in a particular academic journal like the field of psychology might have a title like: "Can Mindfulness Meditation Reduce Symptoms of Anxiety and Depression? A Randomized Controlled Trial." This title effectively uses a question to grab the reader's attention and clearly conveys the main focus of the research.

Writing a Research Paper Title that Grabs Attention

Techniques for crafting a compelling research paper title

a) Use a clear and concise format, such as [method] study of [topic] among [sample].

b) Use keywords from the research topic to make the title more discoverable.

c) Keep the title short and to the point, avoiding unnecessary words or phrases.

When writing your research paper title, consider the writing tips and best practices for writing scientific papers to ensure your title is effective and engaging.

Avoiding common mistakes in research paper titles

a) Avoid using abbreviations or acronyms unless they are commonly used in the field and are essential to convey the research focus.

b) Eliminate any nonessential words and phrases from your title.

c) Aim for a word count of 16 words or fewer.

The Role of Subtitles in Research Paper Titles

When to use a subtitle and how to write one effectively.

Add a subtitle after a colon to provide more immediate details about methodology or sample. Be aware of the specific journal author instructions for research paper titles.

If your research paper includes an annex , consider mentioning it in the subtitle to provide additional context for your readers.

Examples of Good Research Paper Titles

Analyzing effective research paper titles.

Titles can be interesting but incomplete, complete but uninteresting, or too informal in tone

Examples of research paper titles that work

Good titles that are concise and contain all relevant terms increase citation counts and Altmetric scores.

Here are a few examples of effective research paper titles:

• " The Impact of Social Media on Adolescent Mental Health: A Systematic Review ". This title effectively uses keywords such as "social media," "adolescent," and "mental health" to convey the main focus of the research. The use of "systematic review" indicates the comprehensive nature of the study.
• " Exploring the Relationship Between Exercise and Cognitive Function in Older Adults ". This title clearly states the main variables being investigated (exercise and cognitive function) and the specific population (older adults). It is concise and easy to understand.
• " Evaluating the Effectiveness of Mindfulness-Based Stress Reduction in Chronic Pain Management ". This title effectively communicates the intervention being studied (mindfulness-based stress reduction) and the specific application (chronic pain management). It is specific and informative.
• " The Role of Exosomes in Cancer Progression: A Comprehensive Review ". This title uses keywords such as "exosomes" and "cancer progression" to convey the main focus of the research. The use of "comprehensive review" indicates the depth and breadth of the study.
• " Machine Learning Approaches for Predicting Stock Market Trends: A Comparative Analysis ". This title effectively communicates the main techniques being investigated (machine learning approaches) and the specific application (predicting stock market trends). The use of "comparative analysis" suggests that different approaches will be evaluated and compared.

Refining Your Research Paper Title

Refining your title: removing nonessential words and phrases.

Eliminate any nonessential words and phrases from your title and keep the title concise and relevant. Aim for a word count of 16 words or fewer.

Getting feedback on your research paper title

Consider delegating your most complex tasks to skilled writers. Get feedback from peers, mentors, or editors to refine your title.

When refining your research paper title, consider the order of authors and how it may impact the perceived importance of each contributor.

It is crucial to seek feedback and guidance from your advisors and colleagues when refining your research paper title. They can provide valuable insights and help ensure that your title accurately represents your research and aligns with the requirements of your specific academic discipline. Don't hesitate to reach out to your network for support and advice throughout the title-writing process.

Final Tips for a Good Research Paper Title

Additional tips for writing a good research paper title

Keep in mind the formatting, word count, and content when writing a research paper title and aim for a concise and relevant title. Use a good research paper title to make a significant difference in the success of a research study

In her book "Stylish Academic Writing," Helen Sword (2012) emphasizes the importance of crafting engaging and informative titles to capture readers' attention and effectively communicate the content of your research.

Best practices for research paper titles

A good research paper title should be concise, informative, and accurately represent the content and purpose of the study. Paperpal can help generate outstanding research titles in a click.

Consider the UK's Research Excellence Framework when crafting your title. The UK's Research Excellence Framework (REF) is a system for assessing the quality of research in UK higher education institutions.

When crafting your research paper title, consider how it aligns with the REF's criteria for research quality, which include originality, significance, and rigor. A well-crafted title that effectively communicates the value and impact of your research can contribute to a stronger REF submission.

Joshua Schimel's "Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded" (2012) provides valuable insights into the art of scientific writing, including the importance of creating compelling research paper titles that accurately reflect the content and significance of your work.

Additional Resources for Crafting Effective Research Paper Titles:

1. The Academic Phrasebank - A useful resource for finding appropriate phrases and terminology for your research paper title.

2. Paperpal Title Generator - An online tool that helps generate effective research paper titles based on your keywords and research focus.

In conclusion, writing a good research paper title is a critical aspect of the research process, as it can significantly impact the visibility and success of your work. By understanding the importance of titles, following best practices, and refining your title based on feedback, you can create compelling titles that accurately represent your research and attract the attention of your target audience. Whether you're conducting theoretical research or applied research , a well-crafted title is essential for effectively communicating your findings to the scientific community.

As Michael Alley notes in his book "The Craft of Scientific Writing" (2018), a well-written research paper title not only captures the essence of your work but also serves as a critical tool for attracting readers and increasing the impact of your research.

Research Paper Optimization

Effective Research Titles

Research Paper Writing

Title Writing Tips

Academic Writing

Research Paper Titles

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Organizing Your Social Sciences Research Paper

Glossary of research terms.

• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
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This glossary is intended to assist you in understanding commonly used terms and concepts when reading, interpreting, and evaluating scholarly research. Also included are common words and phrases defined within the context of how they apply to research in the social and behavioral sciences.

• Acculturation -- refers to the process of adapting to another culture, particularly in reference to blending in with the majority population [e.g., an immigrant adopting American customs]. However, acculturation also implies that both cultures add something to one another, but still remain distinct groups unto themselves.
• Accuracy -- a term used in survey research to refer to the match between the target population and the sample.
• Affective Measures -- procedures or devices used to obtain quantified descriptions of an individual's feelings, emotional states, or dispositions.
• Aggregate -- a total created from smaller units. For instance, the population of a county is an aggregate of the populations of the cities, rural areas, etc. that comprise the county. As a verb, it refers to total data from smaller units into a large unit.
• Anonymity -- a research condition in which no one, including the researcher, knows the identities of research participants.
• Baseline -- a control measurement carried out before an experimental treatment.
• Behaviorism -- school of psychological thought concerned with the observable, tangible, objective facts of behavior, rather than with subjective phenomena such as thoughts, emotions, or impulses. Contemporary behaviorism also emphasizes the study of mental states such as feelings and fantasies to the extent that they can be directly observed and measured.
• Beliefs -- ideas, doctrines, tenets, etc. that are accepted as true on grounds which are not immediately susceptible to rigorous proof.
• Benchmarking -- systematically measuring and comparing the operations and outcomes of organizations, systems, processes, etc., against agreed upon "best-in-class" frames of reference.
• Bias -- a loss of balance and accuracy in the use of research methods. It can appear in research via the sampling frame, random sampling, or non-response. It can also occur at other stages in research, such as while interviewing, in the design of questions, or in the way data are analyzed and presented. Bias means that the research findings will not be representative of, or generalizable to, a wider population.
• Case Study -- the collection and presentation of detailed information about a particular participant or small group, frequently including data derived from the subjects themselves.
• Causal Hypothesis -- a statement hypothesizing that the independent variable affects the dependent variable in some way.
• Causal Relationship -- the relationship established that shows that an independent variable, and nothing else, causes a change in a dependent variable. It also establishes how much of a change is shown in the dependent variable.
• Causality -- the relation between cause and effect.
• Central Tendency -- any way of describing or characterizing typical, average, or common values in some distribution.
• Chi-square Analysis -- a common non-parametric statistical test which compares an expected proportion or ratio to an actual proportion or ratio.
• Claim -- a statement, similar to a hypothesis, which is made in response to the research question and that is affirmed with evidence based on research.
• Classification -- ordering of related phenomena into categories, groups, or systems according to characteristics or attributes.
• Cluster Analysis -- a method of statistical analysis where data that share a common trait are grouped together. The data is collected in a way that allows the data collector to group data according to certain characteristics.
• Cohort Analysis -- group by group analytic treatment of individuals having a statistical factor in common to each group. Group members share a particular characteristic [e.g., born in a given year] or a common experience [e.g., entering a college at a given time].
• Confidentiality -- a research condition in which no one except the researcher(s) knows the identities of the participants in a study. It refers to the treatment of information that a participant has disclosed to the researcher in a relationship of trust and with the expectation that it will not be revealed to others in ways that violate the original consent agreement, unless permission is granted by the participant.
• Confirmability Objectivity -- the findings of the study could be confirmed by another person conducting the same study.
• Construct -- refers to any of the following: something that exists theoretically but is not directly observable; a concept developed [constructed] for describing relations among phenomena or for other research purposes; or, a theoretical definition in which concepts are defined in terms of other concepts. For example, intelligence cannot be directly observed or measured; it is a construct.
• Construct Validity -- seeks an agreement between a theoretical concept and a specific measuring device, such as observation.
• Constructivism -- the idea that reality is socially constructed. It is the view that reality cannot be understood outside of the way humans interact and that the idea that knowledge is constructed, not discovered. Constructivists believe that learning is more active and self-directed than either behaviorism or cognitive theory would postulate.
• Content Analysis -- the systematic, objective, and quantitative description of the manifest or latent content of print or nonprint communications.
• Context Sensitivity -- awareness by a qualitative researcher of factors such as values and beliefs that influence cultural behaviors.
• Control Group -- the group in an experimental design that receives either no treatment or a different treatment from the experimental group. This group can thus be compared to the experimental group.
• Controlled Experiment -- an experimental design with two or more randomly selected groups [an experimental group and control group] in which the researcher controls or introduces the independent variable and measures the dependent variable at least two times [pre- and post-test measurements].
• Correlation -- a common statistical analysis, usually abbreviated as r, that measures the degree of relationship between pairs of interval variables in a sample. The range of correlation is from -1.00 to zero to +1.00. Also, a non-cause and effect relationship between two variables.
• Covariate -- a product of the correlation of two related variables times their standard deviations. Used in true experiments to measure the difference of treatment between them.
• Credibility -- a researcher's ability to demonstrate that the object of a study is accurately identified and described based on the way in which the study was conducted.
• Critical Theory -- an evaluative approach to social science research, associated with Germany's neo-Marxist “Frankfurt School,” that aims to criticize as well as analyze society, opposing the political orthodoxy of modern communism. Its goal is to promote human emancipatory forces and to expose ideas and systems that impede them.
• Data -- factual information [as measurements or statistics] used as a basis for reasoning, discussion, or calculation.
• Data Mining -- the process of analyzing data from different perspectives and summarizing it into useful information, often to discover patterns and/or systematic relationships among variables.
• Data Quality -- this is the degree to which the collected data [results of measurement or observation] meet the standards of quality to be considered valid [trustworthy] and  reliable [dependable].
• Deductive -- a form of reasoning in which conclusions are formulated about particulars from general or universal premises.
• Dependability -- being able to account for changes in the design of the study and the changing conditions surrounding what was studied.
• Dependent Variable -- a variable that varies due, at least in part, to the impact of the independent variable. In other words, its value “depends” on the value of the independent variable. For example, in the variables “gender” and “academic major,” academic major is the dependent variable, meaning that your major cannot determine whether you are male or female, but your gender might indirectly lead you to favor one major over another.
• Deviation -- the distance between the mean and a particular data point in a given distribution.
• Discourse Community -- a community of scholars and researchers in a given field who respond to and communicate to each other through published articles in the community's journals and presentations at conventions. All members of the discourse community adhere to certain conventions for the presentation of their theories and research.
• Discrete Variable -- a variable that is measured solely in whole units, such as, gender and number of siblings.
• Distribution -- the range of values of a particular variable.
• Effect Size -- the amount of change in a dependent variable that can be attributed to manipulations of the independent variable. A large effect size exists when the value of the dependent variable is strongly influenced by the independent variable. It is the mean difference on a variable between experimental and control groups divided by the standard deviation on that variable of the pooled groups or of the control group alone.
• Emancipatory Research -- research is conducted on and with people from marginalized groups or communities. It is led by a researcher or research team who is either an indigenous or external insider; is interpreted within intellectual frameworks of that group; and, is conducted largely for the purpose of empowering members of that community and improving services for them. It also engages members of the community as co-constructors or validators of knowledge.
• Empirical Research -- the process of developing systematized knowledge gained from observations that are formulated to support insights and generalizations about the phenomena being researched.
• Epistemology -- concerns knowledge construction; asks what constitutes knowledge and how knowledge is validated.
• Ethnography -- method to study groups and/or cultures over a period of time. The goal of this type of research is to comprehend the particular group/culture through immersion into the culture or group. Research is completed through various methods but, since the researcher is immersed within the group for an extended period of time, more detailed information is usually collected during the research.
• Expectancy Effect -- any unconscious or conscious cues that convey to the participant in a study how the researcher wants them to respond. Expecting someone to behave in a particular way has been shown to promote the expected behavior. Expectancy effects can be minimized by using standardized interactions with subjects, automated data-gathering methods, and double blind protocols.
• External Validity -- the extent to which the results of a study are generalizable or transferable.
• Factor Analysis -- a statistical test that explores relationships among data. The test explores which variables in a data set are most related to each other. In a carefully constructed survey, for example, factor analysis can yield information on patterns of responses, not simply data on a single response. Larger tendencies may then be interpreted, indicating behavior trends rather than simply responses to specific questions.
• Field Studies -- academic or other investigative studies undertaken in a natural setting, rather than in laboratories, classrooms, or other structured environments.
• Focus Groups -- small, roundtable discussion groups charged with examining specific topics or problems, including possible options or solutions. Focus groups usually consist of 4-12 participants, guided by moderators to keep the discussion flowing and to collect and report the results.
• Framework -- the structure and support that may be used as both the launching point and the on-going guidelines for investigating a research problem.
• Generalizability -- the extent to which research findings and conclusions conducted on a specific study to groups or situations can be applied to the population at large.
• Grey Literature -- research produced by organizations outside of commercial and academic publishing that publish materials, such as, working papers, research reports, and briefing papers.
• Grounded Theory -- practice of developing other theories that emerge from observing a group. Theories are grounded in the group's observable experiences, but researchers add their own insight into why those experiences exist.
• Group Behavior -- behaviors of a group as a whole, as well as the behavior of an individual as influenced by his or her membership in a group.
• Hypothesis -- a tentative explanation based on theory to predict a causal relationship between variables.
• Independent Variable -- the conditions of an experiment that are systematically manipulated by the researcher. A variable that is not impacted by the dependent variable, and that itself impacts the dependent variable. In the earlier example of "gender" and "academic major," (see Dependent Variable) gender is the independent variable.
• Individualism -- a theory or policy having primary regard for the liberty, rights, or independent actions of individuals.
• Inductive -- a form of reasoning in which a generalized conclusion is formulated from particular instances.
• Inductive Analysis -- a form of analysis based on inductive reasoning; a researcher using inductive analysis starts with answers, but formulates questions throughout the research process.
• Insiderness -- a concept in qualitative research that refers to the degree to which a researcher has access to and an understanding of persons, places, or things within a group or community based on being a member of that group or community.
• Internal Consistency -- the extent to which all questions or items assess the same characteristic, skill, or quality.
• Internal Validity -- the rigor with which the study was conducted [e.g., the study's design, the care taken to conduct measurements, and decisions concerning what was and was not measured]. It is also the extent to which the designers of a study have taken into account alternative explanations for any causal relationships they explore. In studies that do not explore causal relationships, only the first of these definitions should be considered when assessing internal validity.
• Life History -- a record of an event/events in a respondent's life told [written down, but increasingly audio or video recorded] by the respondent from his/her own perspective in his/her own words. A life history is different from a "research story" in that it covers a longer time span, perhaps a complete life, or a significant period in a life.
• Margin of Error -- the permittable or acceptable deviation from the target or a specific value. The allowance for slight error or miscalculation or changing circumstances in a study.
• Measurement -- process of obtaining a numerical description of the extent to which persons, organizations, or things possess specified characteristics.
• Meta-Analysis -- an analysis combining the results of several studies that address a set of related hypotheses.
• Methodology -- a theory or analysis of how research does and should proceed.
• Methods -- systematic approaches to the conduct of an operation or process. It includes steps of procedure, application of techniques, systems of reasoning or analysis, and the modes of inquiry employed by a discipline.
• Mixed-Methods -- a research approach that uses two or more methods from both the quantitative and qualitative research categories. It is also referred to as blended methods, combined methods, or methodological triangulation.
• Modeling -- the creation of a physical or computer analogy to understand a particular phenomenon. Modeling helps in estimating the relative magnitude of various factors involved in a phenomenon. A successful model can be shown to account for unexpected behavior that has been observed, to predict certain behaviors, which can then be tested experimentally, and to demonstrate that a given theory cannot account for certain phenomenon.
• Models -- representations of objects, principles, processes, or ideas often used for imitation or emulation.
• Naturalistic Observation -- observation of behaviors and events in natural settings without experimental manipulation or other forms of interference.
• Norm -- the norm in statistics is the average or usual performance. For example, students usually complete their high school graduation requirements when they are 18 years old. Even though some students graduate when they are younger or older, the norm is that any given student will graduate when he or she is 18 years old.
• Null Hypothesis -- the proposition, to be tested statistically, that the experimental intervention has "no effect," meaning that the treatment and control groups will not differ as a result of the intervention. Investigators usually hope that the data will demonstrate some effect from the intervention, thus allowing the investigator to reject the null hypothesis.
• Ontology -- a discipline of philosophy that explores the science of what is, the kinds and structures of objects, properties, events, processes, and relations in every area of reality.
• Panel Study -- a longitudinal study in which a group of individuals is interviewed at intervals over a period of time.
• Participant -- individuals whose physiological and/or behavioral characteristics and responses are the object of study in a research project.
• Peer-Review -- the process in which the author of a book, article, or other type of publication submits his or her work to experts in the field for critical evaluation, usually prior to publication. This is standard procedure in publishing scholarly research.
• Phenomenology -- a qualitative research approach concerned with understanding certain group behaviors from that group's point of view.
• Philosophy -- critical examination of the grounds for fundamental beliefs and analysis of the basic concepts, doctrines, or practices that express such beliefs.
• Phonology -- the study of the ways in which speech sounds form systems and patterns in language.
• Policy -- governing principles that serve as guidelines or rules for decision making and action in a given area.
• Policy Analysis -- systematic study of the nature, rationale, cost, impact, effectiveness, implications, etc., of existing or alternative policies, using the theories and methodologies of relevant social science disciplines.
• Population -- the target group under investigation. The population is the entire set under consideration. Samples are drawn from populations.
• Position Papers -- statements of official or organizational viewpoints, often recommending a particular course of action or response to a situation.
• Positivism -- a doctrine in the philosophy of science, positivism argues that science can only deal with observable entities known directly to experience. The positivist aims to construct general laws, or theories, which express relationships between phenomena. Observation and experiment is used to show whether the phenomena fit the theory.
• Predictive Measurement -- use of tests, inventories, or other measures to determine or estimate future events, conditions, outcomes, or trends.
• Principal Investigator -- the scientist or scholar with primary responsibility for the design and conduct of a research project.
• Probability -- the chance that a phenomenon will occur randomly. As a statistical measure, it is shown as p [the "p" factor].
• Questionnaire -- structured sets of questions on specified subjects that are used to gather information, attitudes, or opinions.
• Random Sampling -- a process used in research to draw a sample of a population strictly by chance, yielding no discernible pattern beyond chance. Random sampling can be accomplished by first numbering the population, then selecting the sample according to a table of random numbers or using a random-number computer generator. The sample is said to be random because there is no regular or discernible pattern or order. Random sample selection is used under the assumption that sufficiently large samples assigned randomly will exhibit a distribution comparable to that of the population from which the sample is drawn. The random assignment of participants increases the probability that differences observed between participant groups are the result of the experimental intervention.
• Reliability -- the degree to which a measure yields consistent results. If the measuring instrument [e.g., survey] is reliable, then administering it to similar groups would yield similar results. Reliability is a prerequisite for validity. An unreliable indicator cannot produce trustworthy results.
• Representative Sample -- sample in which the participants closely match the characteristics of the population, and thus, all segments of the population are represented in the sample. A representative sample allows results to be generalized from the sample to the population.
• Rigor -- degree to which research methods are scrupulously and meticulously carried out in order to recognize important influences occurring in an experimental study.
• Sample -- the population researched in a particular study. Usually, attempts are made to select a "sample population" that is considered representative of groups of people to whom results will be generalized or transferred. In studies that use inferential statistics to analyze results or which are designed to be generalizable, sample size is critical, generally the larger the number in the sample, the higher the likelihood of a representative distribution of the population.
• Sampling Error -- the degree to which the results from the sample deviate from those that would be obtained from the entire population, because of random error in the selection of respondent and the corresponding reduction in reliability.
• Saturation -- a situation in which data analysis begins to reveal repetition and redundancy and when new data tend to confirm existing findings rather than expand upon them.
• Semantics -- the relationship between symbols and meaning in a linguistic system. Also, the cuing system that connects what is written in the text to what is stored in the reader's prior knowledge.
• Social Theories -- theories about the structure, organization, and functioning of human societies.
• Sociolinguistics -- the study of language in society and, more specifically, the study of language varieties, their functions, and their speakers.
• Standard Deviation -- a measure of variation that indicates the typical distance between the scores of a distribution and the mean; it is determined by taking the square root of the average of the squared deviations in a given distribution. It can be used to indicate the proportion of data within certain ranges of scale values when the distribution conforms closely to the normal curve.
• Statistical Analysis -- application of statistical processes and theory to the compilation, presentation, discussion, and interpretation of numerical data.
• Statistical Bias -- characteristics of an experimental or sampling design, or the mathematical treatment of data, that systematically affects the results of a study so as to produce incorrect, unjustified, or inappropriate inferences or conclusions.
• Statistical Significance -- the probability that the difference between the outcomes of the control and experimental group are great enough that it is unlikely due solely to chance. The probability that the null hypothesis can be rejected at a predetermined significance level [0.05 or 0.01].
• Statistical Tests -- researchers use statistical tests to make quantitative decisions about whether a study's data indicate a significant effect from the intervention and allow the researcher to reject the null hypothesis. That is, statistical tests show whether the differences between the outcomes of the control and experimental groups are great enough to be statistically significant. If differences are found to be statistically significant, it means that the probability [likelihood] that these differences occurred solely due to chance is relatively low. Most researchers agree that a significance value of .05 or less [i.e., there is a 95% probability that the differences are real] sufficiently determines significance.
• Subcultures -- ethnic, regional, economic, or social groups exhibiting characteristic patterns of behavior sufficient to distinguish them from the larger society to which they belong.
• Testing -- the act of gathering and processing information about individuals' ability, skill, understanding, or knowledge under controlled conditions.
• Theory -- a general explanation about a specific behavior or set of events that is based on known principles and serves to organize related events in a meaningful way. A theory is not as specific as a hypothesis.
• Treatment -- the stimulus given to a dependent variable.
• Trend Samples -- method of sampling different groups of people at different points in time from the same population.
• Triangulation -- a multi-method or pluralistic approach, using different methods in order to focus on the research topic from different viewpoints and to produce a multi-faceted set of data. Also used to check the validity of findings from any one method.
• Unit of Analysis -- the basic observable entity or phenomenon being analyzed by a study and for which data are collected in the form of variables.
• Validity -- the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure. A method can be reliable, consistently measuring the same thing, but not valid.
• Variable -- any characteristic or trait that can vary from one person to another [race, gender, academic major] or for one person over time [age, political beliefs].
• Weighted Scores -- scores in which the components are modified by different multipliers to reflect their relative importance.
• White Paper -- an authoritative report that often states the position or philosophy about a social, political, or other subject, or a general explanation of an architecture, framework, or product technology written by a group of researchers. A white paper seeks to contain unbiased information and analysis regarding a business or policy problem that the researchers may be facing.

Elliot, Mark, Fairweather, Ian, Olsen, Wendy Kay, and Pampaka, Maria. A Dictionary of Social Research Methods. Oxford, UK: Oxford University Press, 2016; Free Social Science Dictionary. Socialsciencedictionary.com [2008]. Glossary. Institutional Review Board. Colorado College; Glossary of Key Terms. Writing@CSU. Colorado State University; Glossary A-Z. Education.com; Glossary of Research Terms. Research Mindedness Virtual Learning Resource. Centre for Human Servive Technology. University of Southampton; Miller, Robert L. and Brewer, John D. The A-Z of Social Research: A Dictionary of Key Social Science Research Concepts London: SAGE, 2003; Jupp, Victor. The SAGE Dictionary of Social and Cultural Research Methods . London: Sage, 2006.

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Formulating the Right Title for a Research Article

Affiliation.

• 1 Professor and Head, Department of Pediatrics, Topiwala National Medical College and BYL Nair Ch. Hospital, Mumbai, Maharashtra.
• PMID: 27730781

Title is an important part of the article. It condenses article content in a few words and captures readers' attention. A good title for a research article is the one which, on its own, is able to introduce the research work to the fullest extent, but in a concise manner. Writing scientific titles that are informative and attractive is a challenging task. This communication describes the importance of titles and the methods of creating appropriate titles for research papers.

© Journal of the Association of Physicians of India 2011.

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• Title and title page. Peh WC, Ng KH. Peh WC, et al. Singapore Med J. 2008 Aug;49(8):607-8; quiz 609. Singapore Med J. 2008. PMID: 18756341
• Writing the title, abstract, and keywords for a medical article: to be concise and accurate. Badri T. Badri T. Tunis Med. 2019 Jul;97(7):865-869. Tunis Med. 2019. PMID: 31872396
• The trend toward more attractive and informative titles: American Psychologist 1946-2010. Whissell C. Whissell C. Psychol Rep. 2012 Apr;110(2):427-44. doi: 10.2466/17.28.PR0.110.2.427-444. Psychol Rep. 2012. PMID: 22662397
• [How do I write a scientific article--advice to a young researcher]. Auvinen A. Auvinen A. Duodecim. 2015;131(16):1460-6. Duodecim. 2015. PMID: 26485939 Review. Finnish.
• Selecting a thesis topic: A postgraduate's dilemma. Saini RK, Issac M, Kumar KJD, Chaudhury S, Sharma R, Dangi A, Chail A. Saini RK, et al. Ind Psychiatry J. 2023 Jan-Jun;32(1):19-23. doi: 10.4103/ipj.ipj_62_22. Epub 2022 Sep 14. Ind Psychiatry J. 2023. PMID: 37274575 Free PMC article. Review.
• Title does matter: a cross-sectional study of 30 journals in the Medical Laboratory Technology category. Njire Braticevic M, Babic I, Abramovic I, Jokic A, Horvat M. Njire Braticevic M, et al. Biochem Med (Zagreb). 2020 Feb 15;30(1):010708. doi: 10.11613/BM.2020.010708. Biochem Med (Zagreb). 2020. PMID: 32063731 Free PMC article.
• Writing the title and abstract for a research paper: Being concise, precise, and meticulous is the key. Tullu MS. Tullu MS. Saudi J Anaesth. 2019 Apr;13(Suppl 1):S12-S17. doi: 10.4103/sja.SJA_685_18. Saudi J Anaesth. 2019. PMID: 30930712 Free PMC article. Review.
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What is Research? Definition, Types, Methods, and Examples

Academic research is a methodical way of exploring new ideas or understanding things we already know. It involves gathering and studying information to answer questions or test ideas and requires careful thinking and persistence to reach meaningful conclusions. Let’s try to understand what research is.   

Table of Contents

Why is research important?    

Whether it’s doing experiments, analyzing data, or studying old documents, research helps us learn more about the world. Without it, we rely on guesswork and hearsay, often leading to mistakes and misconceptions. By using systematic methods, research helps us see things clearly, free from biases. (1)   

What is the purpose of research?  

In the real world, academic research is also a key driver of innovation. It brings many benefits, such as creating valuable opportunities and fostering partnerships between academia and industry. By turning research into products and services, science makes meaningful improvements to people’s lives and boosts the economy. (2)(3)  

What are the characteristics of research?    

The research process collects accurate information systematically. Logic is used to analyze the collected data and find insights. Checking the collected data thoroughly ensures accuracy. Research also leads to new questions using existing data.   

Accuracy is key in research, which requires precise data collection and analysis. In scientific research, laboratories ensure accuracy by carefully calibrating instruments and controlling experiments. Every step is checked to maintain integrity, from instruments to final results. Accuracy gives reliable insights, which in turn help advance knowledge.   

Types of research    

The different forms of research serve distinct purposes in expanding knowledge and understanding:    

• Exploratory research ventures into uncharted territories, exploring new questions or problem areas without aiming for conclusive answers. For instance, a study may delve into unexplored market segments to better understand consumer behaviour patterns.   
• Descriptive research delves into current issues by collecting and analyzing data to describe the behaviour of a sample population. For instance, a survey may investigate millennials’ spending habits to gain insights into their purchasing behaviours.   
• Explanatory research, also known as causal research, seeks to understand the impact of specific changes in existing procedures. An example might be a study examining how changes in drug dosage over some time improve patients’ health.   
• Correlational research examines connections between two sets of data to uncover meaningful relationships. For instance, a study may analyze the relationship between advertising spending and sales revenue.   
• Theoretical research deepens existing knowledge without attempting to solve specific problems. For example, a study may explore theoretical frameworks to understand the underlying principles of human behaviour.   
• Applied research focuses on real-world issues and aims to provide practical solutions. An example could be a study investigating the effectiveness of a new teaching method in improving student performance in schools.  (4)

Types of research methods

• Qualitative Method: Qualitative research gathers non-numerical data through interactions with participants. Methods include one-to-one interviews, focus groups, ethnographic studies, text analysis, and case studies. For example, a researcher interviews cancer patients to understand how different treatments impact their lives emotionally.    
• Quantitative Method: Quantitative methods deal with numbers and measurable data to understand relationships between variables. They use systematic methods to investigate events and aim to explain or predict outcomes. For example, Researchers study how exercise affects heart health by measuring variables like heart rate and blood pressure in a large group before and after an exercise program. (5)  

Basic steps involved in the research process    

Here are the basic steps to help you understand the research process:   

• Choose your topic: Decide the specific subject or area that you want to study and investigate. This decision is the foundation of your research journey.   
• Find information: Look for information related to your research topic. You can search in journals, books, online, or ask experts for help.   
• Assess your sources: Make sure the information you find is reliable and trustworthy. Check the author’s credentials and the publication date.   
• Take notes: Write down important information from your sources that you can use in your research.   
• Write your paper: Use your notes to write your research paper. Broadly, start with an introduction, then write the body of your paper, and finish with a conclusion.   
• Cite your sources: Give credit to the sources you used by including citations in your paper.   
• Proofread: Check your paper thoroughly for any errors in spelling, grammar, or punctuation before you submit it. (6)

How to ensure research accuracy?  

Ensuring accuracy in research is a mix of several essential steps:    

• Clarify goals: Start by defining clear objectives for your research. Identify your research question, hypothesis, and variables of interest. This clarity will help guide your data collection and analysis methods, ensuring that your research stays focused and purposeful.   
• Use reliable data: Select trustworthy sources for your information, whether they are primary data collected by you or secondary data obtained from other sources. For example, if you’re studying climate change, use data from reputable scientific organizations with transparent methodologies.   
• Validate data: Validate your data to ensure it meets the standards of your research project. Check for errors, outliers, and inconsistencies at different stages, such as during data collection, entry, cleaning, or analysis.    
• Document processes: Documenting your data collection and analysis processes is essential for transparency and reproducibility. Record details such as data collection methods, cleaning procedures, and analysis techniques used. This documentation not only helps you keep track of your research but also enables others to understand and replicate your work.   
• Review results: Finally, review and verify your research findings to confirm their accuracy and reliability. Double-check your analyses, cross-reference your data, and seek feedback from peers or supervisors. (7) 

Research is crucial for better understanding our world and for social and economic growth. By following ethical guidelines and ensuring accuracy, researchers play a critical role in driving this progress, whether through exploring new topics or deepening existing knowledge.   

References:  

• Why is Research Important – Introductory Psychology – Washington State University  
• The Role Of Scientific Research In Driving Business Innovation – Forbes  
• Innovation – Royal Society  
• Types of Research – Definition & Methods – Bachelor Print  
• What Is Qualitative vs. Quantitative Study? – National University  
• Basic Steps in the Research Process – North Hennepin Community College  
• Best Practices for Ensuring Data Accuracy in Research – LinkedIn  

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What (Exactly) Is A Research Proposal?

A simple explainer with examples + free template.

By: Derek Jansen (MBA) | Reviewed By: Dr Eunice Rautenbach | June 2020 (Updated April 2023)

Whether you’re nearing the end of your degree and your dissertation is on the horizon, or you’re planning to apply for a PhD program, chances are you’ll need to craft a convincing research proposal . If you’re on this page, you’re probably unsure exactly what the research proposal is all about. Well, you’ve come to the right place.

Overview: Research Proposal Basics

• What a research proposal is
• What a research proposal needs to cover
• How to structure your research proposal
• Example /sample proposals
• Proposal writing FAQs
• Key takeaways & additional resources

What is a research proposal?

Simply put, a research proposal is a structured, formal document that explains what you plan to research (your research topic), why it’s worth researching (your justification), and how  you plan to investigate it (your methodology). 

The purpose of the research proposal (its job, so to speak) is to convince  your research supervisor, committee or university that your research is  suitable  (for the requirements of the degree program) and  manageable  (given the time and resource constraints you will face). 

The most important word here is “ convince ” – in other words, your research proposal needs to  sell  your research idea (to whoever is going to approve it). If it doesn’t convince them (of its suitability and manageability), you’ll need to revise and resubmit . This will cost you valuable time, which will either delay the start of your research or eat into its time allowance (which is bad news). 

What goes into a research proposal?

A good dissertation or thesis proposal needs to cover the “ what “, “ why ” and” how ” of the proposed study. Let’s look at each of these attributes in a little more detail:

Your proposal needs to clearly articulate your research topic . This needs to be specific and unambiguous . Your research topic should make it clear exactly what you plan to research and in what context. Here’s an example of a well-articulated research topic:

An investigation into the factors which impact female Generation Y consumer’s likelihood to promote a specific makeup brand to their peers: a British context

As you can see, this topic is extremely clear. From this one line we can see exactly:

• What’s being investigated – factors that make people promote or advocate for a brand of a specific makeup brand
• Who it involves – female Gen-Y consumers
• In what context – the United Kingdom

So, make sure that your research proposal provides a detailed explanation of your research topic . If possible, also briefly outline your research aims and objectives , and perhaps even your research questions (although in some cases you’ll only develop these at a later stage). Needless to say, don’t start writing your proposal until you have a clear topic in mind , or you’ll end up waffling and your research proposal will suffer as a result of this.

Need a helping hand?

As we touched on earlier, it’s not good enough to simply propose a research topic – you need to justify why your topic is original . In other words, what makes it  unique ? What gap in the current literature does it fill? If it’s simply a rehash of the existing research, it’s probably not going to get approval – it needs to be fresh.

But,  originality  alone is not enough. Once you’ve ticked that box, you also need to justify why your proposed topic is  important . In other words, what value will it add to the world if you achieve your research aims?

As an example, let’s look at the sample research topic we mentioned earlier (factors impacting brand advocacy). In this case, if the research could uncover relevant factors, these findings would be very useful to marketers in the cosmetics industry, and would, therefore, have commercial value . That is a clear justification for the research.

So, when you’re crafting your research proposal, remember that it’s not enough for a topic to simply be unique. It needs to be useful and value-creating – and you need to convey that value in your proposal. If you’re struggling to find a research topic that makes the cut, watch  our video covering how to find a research topic .

It’s all good and well to have a great topic that’s original and valuable, but you’re not going to convince anyone to approve it without discussing the practicalities – in other words:

• How will you actually undertake your research (i.e., your methodology)?
• Is your research methodology appropriate given your research aims?
• Is your approach manageable given your constraints (time, money, etc.)?

While it’s generally not expected that you’ll have a fully fleshed-out methodology at the proposal stage, you’ll likely still need to provide a high-level overview of your research methodology . Here are some important questions you’ll need to address in your research proposal:

• Will you take a qualitative , quantitative or mixed -method approach?
• What sampling strategy will you adopt?
• How will you collect your data (e.g., interviews , surveys, etc)?
• How will you analyse your data (e.g., descriptive and inferential statistics , content analysis, discourse analysis, etc, .)?
• What potential limitations will your methodology carry?

So, be sure to give some thought to the practicalities of your research and have at least a basic methodological plan before you start writing up your proposal. If this all sounds rather intimidating, the video below provides a good introduction to research methodology and the key choices you’ll need to make.

How To Structure A Research Proposal

Now that we’ve covered the key points that need to be addressed in a proposal, you may be wondering, “ But how is a research proposal structured? “.

While the exact structure and format required for a research proposal differs from university to university, there are four “essential ingredients” that commonly make up the structure of a research proposal:

• A rich introduction and background to the proposed research
• An initial literature review covering the existing research
• An overview of the proposed research methodology
• A discussion regarding the practicalities (project plans, timelines, etc.)

In the video below, we unpack each of these four sections, step by step.

Research Proposal Examples/Samples

In the video below, we provide a detailed walkthrough of two successful research proposals (Master’s and PhD-level), as well as our popular free proposal template.

Proposal Writing FAQs

How long should a research proposal be.

This varies tremendously, depending on the university, the field of study (e.g., social sciences vs natural sciences), and the level of the degree (e.g. undergraduate, Masters or PhD) – so it’s always best to check with your university what their specific requirements are before you start planning your proposal.

As a rough guide, a formal research proposal at Masters-level often ranges between 2000-3000 words, while a PhD-level proposal can be far more detailed, ranging from 5000-8000 words. In some cases, a rough outline of the topic is all that’s needed, while in other cases, universities expect a very detailed proposal that essentially forms the first three chapters of the dissertation or thesis.

The takeaway – be sure to check with your institution before you start writing.

How do I choose a topic for my research proposal?

Finding a good research topic is a process that involves multiple steps. We cover the topic ideation process in this video post.

How do I write a literature review for my proposal?

While you typically won’t need a comprehensive literature review at the proposal stage, you still need to demonstrate that you’re familiar with the key literature and are able to synthesise it. We explain the literature review process here.

How do I create a timeline and budget for my proposal?

We explain how to craft a project plan/timeline and budget in Research Proposal Bootcamp .

Which referencing format should I use in my research proposal?

The expectations and requirements regarding formatting and referencing vary from institution to institution. Therefore, you’ll need to check this information with your university.

What common proposal writing mistakes do I need to look out for?

We’ve create a video post about some of the most common mistakes students make when writing a proposal – you can access that here . If you’re short on time, here’s a quick summary:

• The research topic is too broad (or just poorly articulated).
• The research aims, objectives and questions don’t align.
• The research topic is not well justified.
• The study has a weak theoretical foundation.
• The research design is not well articulated well enough.
• Poor writing and sloppy presentation.
• Poor project planning and risk management.
• Not following the university’s specific criteria.

Key Takeaways & Additional Resources

As you write up your research proposal, remember the all-important core purpose:  to convince . Your research proposal needs to sell your study in terms of suitability and viability. So, focus on crafting a convincing narrative to ensure a strong proposal.

At the same time, pay close attention to your university’s requirements. While we’ve covered the essentials here, every institution has its own set of expectations and it’s essential that you follow these to maximise your chances of approval.

By the way, we’ve got plenty more resources to help you fast-track your research proposal. Here are some of our most popular resources to get you started:

• Proposal Writing 101 : A Introductory Webinar
• Research Proposal Bootcamp : The Ultimate Online Course
• Template : A basic template to help you craft your proposal

If you’re looking for 1-on-1 support with your research proposal, be sure to check out our private coaching service , where we hold your hand through the proposal development process (and the entire research journey), step by step.

Psst… there’s more!

This post is an extract from our bestselling short course, Research Proposal Bootcamp . If you want to work smart, you don't want to miss this .

52 Comments

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You’re most welcome. We don’t have any research proposals that we can share (the students own the intellectual property), but you might find our research proposal template useful: https://gradcoach.com/research-proposal-template/

Cheruiyot Moses Kipyegon

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What Is Research, and Why Do People Do It?

• Open Access
• First Online: 03 December 2022

Cite this chapter

You have full access to this open access chapter

• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  

Part of the book series: Research in Mathematics Education ((RME))

22k Accesses

Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

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• Research Objectives | Definition & Examples

Research Objectives | Definition & Examples

Published on July 12, 2022 by Eoghan Ryan . Revised on November 20, 2023.

Research objectives describe what your research is trying to achieve and explain why you are pursuing it. They summarize the approach and purpose of your project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement . They should:

• Establish the scope and depth of your project
• Contribute to your research design
• Indicate how your project will contribute to existing knowledge

Table of contents

What is a research objective, why are research objectives important, how to write research aims and objectives, smart research objectives, other interesting articles, frequently asked questions about research objectives.

Research objectives describe what your research project intends to accomplish. They should guide every step of the research process , including how you collect data , build your argument , and develop your conclusions .

Your research objectives may evolve slightly as your research progresses, but they should always line up with the research carried out and the actual content of your paper.

Research aims

A distinction is often made between research objectives and research aims.

A research aim typically refers to a broad statement indicating the general purpose of your research project. It should appear at the end of your problem statement, before your research objectives.

Your research objectives are more specific than your research aim and indicate the particular focus and approach of your project. Though you will only have one research aim, you will likely have several research objectives.

Prevent plagiarism. Run a free check.

Research objectives are important because they:

• Establish the scope and depth of your project: This helps you avoid unnecessary research. It also means that your research methods and conclusions can easily be evaluated .
• Contribute to your research design: When you know what your objectives are, you have a clearer idea of what methods are most appropriate for your research.
• Indicate how your project will contribute to extant research: They allow you to display your knowledge of up-to-date research, employ or build on current research methods, and attempt to contribute to recent debates.

Once you’ve established a research problem you want to address, you need to decide how you will address it. This is where your research aim and objectives come in.

Step 1: Decide on a general aim

Your research aim should reflect your research problem and should be relatively broad.

Step 2: Decide on specific objectives

Break down your aim into a limited number of steps that will help you resolve your research problem. What specific aspects of the problem do you want to examine or understand?

Step 3: Formulate your aims and objectives

Once you’ve established your research aim and objectives, you need to explain them clearly and concisely to the reader.

You’ll lay out your aims and objectives at the end of your problem statement, which appears in your introduction. Frame them as clear declarative statements, and use appropriate verbs to accurately characterize the work that you will carry out.

The acronym “SMART” is commonly used in relation to research objectives. It states that your objectives should be:

• Specific: Make sure your objectives aren’t overly vague. Your research needs to be clearly defined in order to get useful results.
• Measurable: Know how you’ll measure whether your objectives have been achieved.
• Achievable: Your objectives may be challenging, but they should be feasible. Make sure that relevant groundwork has been done on your topic or that relevant primary or secondary sources exist. Also ensure that you have access to relevant research facilities (labs, library resources , research databases , etc.).
• Relevant: Make sure that they directly address the research problem you want to work on and that they contribute to the current state of research in your field.
• Time-based: Set clear deadlines for objectives to ensure that the project stays on track.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Research objectives describe what you intend your research project to accomplish.

They summarize the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

Your research objectives indicate how you’ll try to address your research problem and should be specific:

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

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Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

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• Your proposed timeline and duration
• Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
• Any inclusion and exclusion criteria
• Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

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Positive energy districts: fundamentals, assessment methodologies, modeling and research gaps.

1. Introduction

State of the art on positive energy districts, 2. methodology.

• Setting: a café-like environment with small, round tables, tablecloths, colored pens, sticky notes and any interaction tool available.
• Welcome and Introduction: the host offers a welcome, introduces the World Café process, and sets the context.
• Small-Group Rounds: three or more twenty-minute rounds of conversations occur in small groups. Participants switch tables after each round, with one person optionally remaining as the “table host” to brief newcomers.
• Questions: each round starts with a context-specific question. Questions may remain constant or be built upon each other to guide the discussion.
• Harvest: participants share their discussion insights with the larger group, often visually represented through graphic recording.
• Objectives of the workshop and preparation. The first step of the World Café approach is to identify the main objectives. For this workshop, there was the need to investigate the current landscape of PED research, as well as to have a benchmark and collect feedback on the current research activities within Annex 83. Questions were structured in order to frame the current state-of-the-art understanding of the topic. A mapping of the potential different stakeholders in the PED design and implementation process was carried out at this stage. As a result, municipalities, community representatives, energy contractors, real estate companies and commercial facilitators, as well as citizens, were identified as main target groups. Later, the follow-up discussions were built around these main actors. Further, the mapping of the stakeholders’ involvement was carried out for better understanding the complexity of relationships, roles and synergies as well as the impact on the design, implementation and operation stages of PEDs.
• Positive Energy Districts’ definitions and fundamentals ( Section 3.1 ).
• Quality-of-life indicators in Positive Energy Districts ( Section 3.2 ).
• Technologies in Positive Energy Districts: development, use and barriers ( Section 3.3 ).
• Positive Energy Districts modeling: what is further needed to model PEDs? ( Section 3.4 ).
• Sustainability assessment of Positive Energy Districts ( Section 3.5 ).
• Stakeholder engagement within the design process ( Section 3.6 ).
• Tools and guidelines for PED implementation ( Section 3.7 ).

3.1. Positive Energy Districts Definitions and Fundamentals

3.2. quality-of-life indicators in positive energy districts, 3.3. technologies in positive energy districts: development, use and barriers, 3.4. positive energy districts modeling: what is further needed to model peds, 3.5. sustainability assessment of positive energy districts, 3.6. stakeholder engagement within the design process, 3.7. tools and guidelines for ped implementation, 4. conclusions, author contributions, data availability statement, acknowledgments, conflicts of interest.

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Kozlowska, A.; Guarino, F.; Volpe, R.; Bisello, A.; Gabaldòn, A.; Rezaei, A.; Albert-Seifried, V.; Alpagut, B.; Vandevyvere, H.; Reda, F.; et al. Positive Energy Districts: Fundamentals, Assessment Methodologies, Modeling and Research Gaps. Energies 2024 , 17 , 4425. https://doi.org/10.3390/en17174425

Kozlowska A, Guarino F, Volpe R, Bisello A, Gabaldòn A, Rezaei A, Albert-Seifried V, Alpagut B, Vandevyvere H, Reda F, et al. Positive Energy Districts: Fundamentals, Assessment Methodologies, Modeling and Research Gaps. Energies . 2024; 17(17):4425. https://doi.org/10.3390/en17174425

Kozlowska, Anna, Francesco Guarino, Rosaria Volpe, Adriano Bisello, Andrea Gabaldòn, Abolfazl Rezaei, Vicky Albert-Seifried, Beril Alpagut, Han Vandevyvere, Francesco Reda, and et al. 2024. "Positive Energy Districts: Fundamentals, Assessment Methodologies, Modeling and Research Gaps" Energies 17, no. 17: 4425. https://doi.org/10.3390/en17174425

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