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18 Descriptive Research Examples

18 Descriptive Research Examples

Dave Cornell (PhD)

Dr. Cornell has worked in education for more than 20 years. His work has involved designing teacher certification for Trinity College in London and in-service training for state governments in the United States. He has trained kindergarten teachers in 8 countries and helped businessmen and women open baby centers and kindergartens in 3 countries.

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18 Descriptive Research Examples

Chris Drew (PhD)

This article was peer-reviewed and edited by Chris Drew (PhD). The review process on Helpful Professor involves having a PhD level expert fact check, edit, and contribute to articles. Reviewers ensure all content reflects expert academic consensus and is backed up with reference to academic studies. Dr. Drew has published over 20 academic articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education and holds a PhD in Education from ACU.

descriptive research title about school

Descriptive research involves gathering data to provide a detailed account or depiction of a phenomenon without manipulating variables or conducting experiments.

A scholarly definition is:

“Descriptive research is defined as a research approach that describes the characteristics of the population, sample or phenomenon studied. This method focuses more on the “what” rather than the “why” of the research subject.” (Matanda, 2022, p. 63)

The key feature of descriptive research is that it merely describes phenomena and does not attempt to manipulate variables nor determine cause and effect .

To determine cause and effect , a researcher would need to use an alternate methodology, such as experimental research design .

Common approaches to descriptive research include:

  • Cross-sectional research : A cross-sectional study gathers data on a population at a specific time to get descriptive data that could include categories (e.g. age or income brackets) to get a better understanding of the makeup of a population.
  • Longitudinal research : Longitudinal studies return to a population to collect data at several different points in time, allowing for description of changes in categories over time. However, as it’s descriptive, it cannot infer cause and effect (Erickson, 2017).

Methods that could be used include:

  • Surveys: For example, sending out a census survey to be completed at the exact same date and time by everyone in a population.
  • Case Study : For example, an in-depth description of a specific person or group of people to gain in-depth qualitative information that can describe a phenomenon but cannot be generalized to other cases.
  • Observational Method : For example, a researcher taking field notes in an ethnographic study. (Siedlecki, 2020)

Descriptive Research Examples

1. Understanding Autism Spectrum Disorder (Psychology): Researchers analyze various behavior patterns, cognitive skills, and social interaction abilities specific to children with Autism Spectrum Disorder to comprehensively describe the disorder’s symptom spectrum. This detailed description classifies it as descriptive research, rather than analytical or experimental, as it merely records what is observed without altering any variables or trying to establish causality.

2. Consumer Purchase Decision Process in E-commerce Marketplaces (Marketing): By documenting and describing all the factors that influence consumer decisions on online marketplaces, researchers don’t attempt to predict future behavior or establish causes—just describe observed behavior—making it descriptive research.

3. Impacts of Climate Change on Agricultural Practices (Environmental Studies): Descriptive research is seen as scientists outline how climate changes influence various agricultural practices by observing and then meticulously categorizing the impacts on crop variability, farming seasons, and pest infestations without manipulating any variables in real-time.

4. Work Environment and Employee Performance (Human Resources Management): A study of this nature, describing the correlation between various workplace elements and employee performance, falls under descriptive research as it merely narrates the observed patterns without altering any conditions or testing hypotheses.

5. Factors Influencing Student Performance (Education): Researchers describe various factors affecting students’ academic performance, such as studying techniques, parental involvement, and peer influence. The study is categorized as descriptive research because its principal aim is to depict facts as they stand without trying to infer causal relationships.

6. Technological Advances in Healthcare (Healthcare): This research describes and categorizes different technological advances (such as telemedicine, AI-enabled tools, digital collaboration) in healthcare without testing or modifying any parameters, making it an example of descriptive research.

7. Urbanization and Biodiversity Loss (Ecology): By describing the impact of rapid urban expansion on biodiversity loss, this study serves as a descriptive research example. It observes the ongoing situation without manipulating it, offering a comprehensive depiction of the existing scenario rather than investigating the cause-effect relationship.

8. Architectural Styles across Centuries (Art History): A study documenting and describing various architectural styles throughout centuries essentially represents descriptive research. It aims to narrate and categorize facts without exploring the underlying reasons or predicting future trends.

9. Media Usage Patterns among Teenagers (Sociology): When researchers document and describe the media consumption habits among teenagers, they are performing a descriptive research study. Their main intention is to observe and report the prevailing trends rather than establish causes or predict future behaviors.

10. Dietary Habits and Lifestyle Diseases (Nutrition Science): By describing the dietary patterns of different population groups and correlating them with the prevalence of lifestyle diseases, researchers perform descriptive research. They merely describe observed connections without altering any diet plans or lifestyles.

11. Shifts in Global Energy Consumption (Environmental Economics): When researchers describe the global patterns of energy consumption and how they’ve shifted over the years, they conduct descriptive research. The focus is on recording and portraying the current state without attempting to infer causes or predict the future.

12. Literacy and Employment Rates in Rural Areas (Sociology): A study aims at describing the literacy rates in rural areas and correlating it with employment levels. It falls under descriptive research because it maps the scenario without manipulating parameters or proving a hypothesis.

13. Women Representation in Tech Industry (Gender Studies): A detailed description of the presence and roles of women across various sectors of the tech industry is a typical case of descriptive research. It merely observes and records the status quo without establishing causality or making predictions.

14. Impact of Urban Green Spaces on Mental Health (Environmental Psychology): When researchers document and describe the influence of green urban spaces on residents’ mental health, they are undertaking descriptive research. They seek purely to understand the current state rather than exploring cause-effect relationships.

15. Trends in Smartphone usage among Elderly (Gerontology): Research describing how the elderly population utilizes smartphones, including popular features and challenges encountered, serves as descriptive research. Researcher’s aim is merely to capture what is happening without manipulating variables or posing predictions.

16. Shifts in Voter Preferences (Political Science): A study describing the shift in voter preferences during a particular electoral cycle is descriptive research. It simply records the preferences revealed without drawing causal inferences or suggesting future voting patterns.

17. Understanding Trust in Autonomous Vehicles (Transportation Psychology): This comprises research describing public attitudes and trust levels when it comes to autonomous vehicles. By merely depicting observed sentiments, without engineering any situations or offering predictions, it’s considered descriptive research.

18. The Impact of Social Media on Body Image (Psychology): Descriptive research to outline the experiences and perceptions of individuals relating to body image in the era of social media. Observing these elements without altering any variables qualifies it as descriptive research.

Descriptive vs Experimental Research

Descriptive research merely observes, records, and presents the actual state of affairs without manipulating any variables, while experimental research involves deliberately changing one or more variables to determine their effect on a particular outcome.

De Vaus (2001) succinctly explains that descriptive studies find out what is going on , but experimental research finds out why it’s going on /

Simple definitions are below:

  • Descriptive research is primarily about describing the characteristics or behaviors in a population, often through surveys or observational methods. It provides rich detail about a specific phenomenon but does not allow for conclusive causal statements; however, it can offer essential leads or ideas for further experimental research (Ivey, 2016).
  • Experimental research , often conducted in controlled environments, aims to establish causal relationships by manipulating one or more independent variables and observing the effects on dependent variables (Devi, 2017; Mukherjee, 2019).

Experimental designs often involve a control group and random assignment . While it can provide compelling evidence for cause and effect, its artificial setting might not perfectly mirror real-worldly conditions, potentially affecting the generalizability of its findings.

These two types of research are complementary, with descriptive studies often leading to hypotheses that are then tested experimentally (Devi, 2017; Zhao et al., 2021).

ParameterDescriptive ResearchExperimental Research
To describe and explore phenomena without influencing variables (Monsen & Van Horn, 2007).To investigate cause-and-effect relationships by manipulating variables.
Observational and non-intrusive.Manipulative and controlled.
Typically not aimed at testing a hypothesis.Generally tests a hypothesis (Mukherjee, 2019).
No variables are manipulated (Erickson, 2017).Involves manipulation of one or more variables (independent variables).
No control over variables and environment.Strict control over variables and environment.
Does not establish causal relationships.Aims to establish causal relationships.
Not focused on predicting outcomes.Often seeks to predict outcomes based on variable manipulation (Zhao et al., 2021).
Uses surveys, observations, and case studies (Ivey, 2016).Employs controlled experiments often with experimental and control groups.
Typically fewer ethical concerns due to non-interference.Potential ethical considerations due to manipulation and intervention (Devi, 2017).

Benefits and Limitations of Descriptive Research

Descriptive research offers several benefits: it allows researchers to gather a vast amount of data and present a complete picture of the situation or phenomenon under study, even within large groups or over long time periods.

It’s also flexible in terms of the variety of methods used, such as surveys, observations, and case studies, and it can be instrumental in identifying patterns or trends and generating hypotheses (Erickson, 2017).

However, it also has its limitations.

The primary drawback is that it can’t establish cause-effect relationships, as no variables are manipulated. This lack of control over variables also opens up possibilities for bias, as researchers might inadvertently influence responses during data collection (De Vaus, 2001).

Additionally, the findings of descriptive research are often not generalizable since they are heavily reliant on the chosen sample’s characteristics.

Provides a comprehensive and detailed profile of the subject or issue through rich data, offering a thorough understanding (Gresham, 2016). Cannot or external factors, potentially influencing the accuracy and reliability of the data.
Helps to identify patterns, trends, and variables for subsequent experimental or correlational research – Krishnaswamy et al. (2009) call it “fact finding” research, setting the groundwork for future experimental studies. Cannot establish causal relationships due to its observational nature, limiting the explanatory power.

See More Types of Research Design Here

De Vaus, D. A. (2001). Research Design in Social Research . SAGE Publications.

Devi, P. S. (2017). Research Methodology: A Handbook for Beginners . Notion Press.

Erickson, G. S. (2017). Descriptive research design. In  New Methods of Market Research and Analysis  (pp. 51-77). Edward Elgar Publishing.

Gresham, B. B. (2016). Concepts of Evidence-based Practice for the Physical Therapist Assistant . F.A. Davis Company.

Ivey, J. (2016). Is descriptive research worth doing?.  Pediatric nursing ,  42 (4), 189. ( Source )

Krishnaswamy, K. N., Sivakumar, A. I., & Mathirajan, M. (2009). Management Research Methodology: Integration of Principles, Methods and Techniques . Pearson Education.

Matanda, E. (2022). Research Methods and Statistics for Cross-Cutting Research: Handbook for Multidisciplinary Research . Langaa RPCIG.

Monsen, E. R., & Van Horn, L. (2007). Research: Successful Approaches . American Dietetic Association.

Mukherjee, S. P. (2019). A Guide to Research Methodology: An Overview of Research Problems, Tasks and Methods . CRC Press.

Siedlecki, S. L. (2020). Understanding descriptive research designs and methods.  Clinical Nurse Specialist ,  34 (1), 8-12. ( Source )

Zhao, P., Ross, K., Li, P., & Dennis, B. (2021). Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach . SAGE Publications.

Dave

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Chris

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  • Descriptive Research | Definition, Types, Methods & Examples

Descriptive Research | Definition, Types, Methods & Examples

Published on May 15, 2019 by Shona McCombes . Revised on June 22, 2023.

Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what , where , when and how   questions , but not why questions.

A descriptive research design can use a wide variety of research methods  to investigate one or more variables . Unlike in experimental research , the researcher does not control or manipulate any of the variables, but only observes and measures them.

Table of contents

When to use a descriptive research design, descriptive research methods, other interesting articles.

Descriptive research is an appropriate choice when the research aim is to identify characteristics, frequencies, trends, and categories.

It is useful when not much is known yet about the topic or problem. Before you can research why something happens, you need to understand how, when and where it happens.

Descriptive research question examples

  • How has the Amsterdam housing market changed over the past 20 years?
  • Do customers of company X prefer product X or product Y?
  • What are the main genetic, behavioural and morphological differences between European wildcats and domestic cats?
  • What are the most popular online news sources among under-18s?
  • How prevalent is disease A in population B?

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Descriptive research is usually defined as a type of quantitative research , though qualitative research can also be used for descriptive purposes. The research design should be carefully developed to ensure that the results are valid and reliable .

Survey research allows you to gather large volumes of data that can be analyzed for frequencies, averages and patterns. Common uses of surveys include:

  • Describing the demographics of a country or region
  • Gauging public opinion on political and social topics
  • Evaluating satisfaction with a company’s products or an organization’s services

Observations

Observations allow you to gather data on behaviours and phenomena without having to rely on the honesty and accuracy of respondents. This method is often used by psychological, social and market researchers to understand how people act in real-life situations.

Observation of physical entities and phenomena is also an important part of research in the natural sciences. Before you can develop testable hypotheses , models or theories, it’s necessary to observe and systematically describe the subject under investigation.

Case studies

A case study can be used to describe the characteristics of a specific subject (such as a person, group, event or organization). Instead of gathering a large volume of data to identify patterns across time or location, case studies gather detailed data to identify the characteristics of a narrowly defined subject.

Rather than aiming to describe generalizable facts, case studies often focus on unusual or interesting cases that challenge assumptions, add complexity, or reveal something new about a research problem .

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

  • Normal distribution
  • Degrees of freedom
  • Null hypothesis
  • Discourse analysis
  • Control groups
  • Mixed methods research
  • Non-probability sampling
  • Quantitative research
  • Ecological validity

Research bias

  • Rosenthal effect
  • Implicit bias
  • Cognitive bias
  • Selection bias
  • Negativity bias
  • Status quo bias

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  • Descriptive Research Designs: Types, Examples & Methods

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One of the components of research is getting enough information about the research problem—the what, how, when and where answers, which is why descriptive research is an important type of research. It is very useful when conducting research whose aim is to identify characteristics, frequencies, trends, correlations, and categories.

This research method takes a problem with little to no relevant information and gives it a befitting description using qualitative and quantitative research method s. Descriptive research aims to accurately describe a research problem.

In the subsequent sections, we will be explaining what descriptive research means, its types, examples, and data collection methods.

What is Descriptive Research?

Descriptive research is a type of research that describes a population, situation, or phenomenon that is being studied. It focuses on answering the how, what, when, and where questions If a research problem, rather than the why.

This is mainly because it is important to have a proper understanding of what a research problem is about before investigating why it exists in the first place. 

For example, an investor considering an investment in the ever-changing Amsterdam housing market needs to understand what the current state of the market is, how it changes (increasing or decreasing), and when it changes (time of the year) before asking for the why. This is where descriptive research comes in.

What Are The Types of Descriptive Research?

Descriptive research is classified into different types according to the kind of approach that is used in conducting descriptive research. The different types of descriptive research are highlighted below:

  • Descriptive-survey

Descriptive survey research uses surveys to gather data about varying subjects. This data aims to know the extent to which different conditions can be obtained among these subjects.

For example, a researcher wants to determine the qualification of employed professionals in Maryland. He uses a survey as his research instrument , and each item on the survey related to qualifications is subjected to a Yes/No answer. 

This way, the researcher can describe the qualifications possessed by the employed demographics of this community. 

  • Descriptive-normative survey

This is an extension of the descriptive survey, with the addition being the normative element. In the descriptive-normative survey, the results of the study should be compared with the norm.

For example, an organization that wishes to test the skills of its employees by a team may have them take a skills test. The skills tests are the evaluation tool in this case, and the result of this test is compared with the norm of each role.

If the score of the team is one standard deviation above the mean, it is very satisfactory, if within the mean, satisfactory, and one standard deviation below the mean is unsatisfactory.

  • Descriptive-status

This is a quantitative description technique that seeks to answer questions about real-life situations. For example, a researcher researching the income of the employees in a company, and the relationship with their performance.

A survey will be carried out to gather enough data about the income of the employees, then their performance will be evaluated and compared to their income. This will help determine whether a higher income means better performance and low income means lower performance or vice versa.

  • Descriptive-analysis

The descriptive-analysis method of research describes a subject by further analyzing it, which in this case involves dividing it into 2 parts. For example, the HR personnel of a company that wishes to analyze the job role of each employee of the company may divide the employees into the people that work at the Headquarters in the US and those that work from Oslo, Norway office.

A questionnaire is devised to analyze the job role of employees with similar salaries and who work in similar positions.

  • Descriptive classification

This method is employed in biological sciences for the classification of plants and animals. A researcher who wishes to classify the sea animals into different species will collect samples from various search stations, then classify them accordingly.

  • Descriptive-comparative

In descriptive-comparative research, the researcher considers 2 variables that are not manipulated, and establish a formal procedure to conclude that one is better than the other. For example, an examination body wants to determine the better method of conducting tests between paper-based and computer-based tests.

A random sample of potential participants of the test may be asked to use the 2 different methods, and factors like failure rates, time factors, and others will be evaluated to arrive at the best method.

  • Correlative Survey

Correlative surveys are used to determine whether the relationship between 2 variables is positive, negative, or neutral. That is, if 2 variables say X and Y are directly proportional, inversely proportional or are not related to each other.

Examples of Descriptive Research

There are different examples of descriptive research, that may be highlighted from its types, uses, and applications. However, we will be restricting ourselves to only 3 distinct examples in this article.

  • Comparing Student Performance:

An academic institution may wish 2 compare the performance of its junior high school students in English language and Mathematics. This may be used to classify students based on 2 major groups, with one group going ahead to study while courses, while the other study courses in the Arts & Humanities field.

Students who are more proficient in mathematics will be encouraged to go into STEM and vice versa. Institutions may also use this data to identify students’ weak points and work on ways to assist them.

  • Scientific Classification

During the major scientific classification of plants, animals, and periodic table elements, the characteristics and components of each subject are evaluated and used to determine how they are classified.

For example, living things may be classified into kingdom Plantae or kingdom animal is depending on their nature. Further classification may group animals into mammals, pieces, vertebrae, invertebrae, etc. 

All these classifications are made a result of descriptive research which describes what they are.

  • Human Behavior

When studying human behaviour based on a factor or event, the researcher observes the characteristics, behaviour, and reaction, then use it to conclude. A company willing to sell to its target market needs to first study the behaviour of the market.

This may be done by observing how its target reacts to a competitor’s product, then use it to determine their behaviour.

What are the Characteristics of Descriptive Research?  

The characteristics of descriptive research can be highlighted from its definition, applications, data collection methods, and examples. Some characteristics of descriptive research are:

  • Quantitativeness

Descriptive research uses a quantitative research method by collecting quantifiable information to be used for statistical analysis of the population sample. This is very common when dealing with research in the physical sciences.

  • Qualitativeness

It can also be carried out using the qualitative research method, to properly describe the research problem. This is because descriptive research is more explanatory than exploratory or experimental.

  • Uncontrolled variables

In descriptive research, researchers cannot control the variables like they do in experimental research.

  • The basis for further research

The results of descriptive research can be further analyzed and used in other research methods. It can also inform the next line of research, including the research method that should be used.

This is because it provides basic information about the research problem, which may give birth to other questions like why a particular thing is the way it is.

Why Use Descriptive Research Design?  

Descriptive research can be used to investigate the background of a research problem and get the required information needed to carry out further research. It is used in multiple ways by different organizations, and especially when getting the required information about their target audience.

  • Define subject characteristics :

It is used to determine the characteristics of the subjects, including their traits, behaviour, opinion, etc. This information may be gathered with the use of surveys, which are shared with the respondents who in this case, are the research subjects.

For example, a survey evaluating the number of hours millennials in a community spends on the internet weekly, will help a service provider make informed business decisions regarding the market potential of the community.

  • Measure Data Trends

It helps to measure the changes in data over some time through statistical methods. Consider the case of individuals who want to invest in stock markets, so they evaluate the changes in prices of the available stocks to make a decision investment decision.

Brokerage companies are however the ones who carry out the descriptive research process, while individuals can view the data trends and make decisions.

Descriptive research is also used to compare how different demographics respond to certain variables. For example, an organization may study how people with different income levels react to the launch of a new Apple phone.

This kind of research may take a survey that will help determine which group of individuals are purchasing the new Apple phone. Do the low-income earners also purchase the phone, or only the high-income earners do?

Further research using another technique will explain why low-income earners are purchasing the phone even though they can barely afford it. This will help inform strategies that will lure other low-income earners and increase company sales.

  • Validate existing conditions

When you are not sure about the validity of an existing condition, you can use descriptive research to ascertain the underlying patterns of the research object. This is because descriptive research methods make an in-depth analysis of each variable before making conclusions.

  • Conducted Overtime

Descriptive research is conducted over some time to ascertain the changes observed at each point in time. The higher the number of times it is conducted, the more authentic the conclusion will be.

What are the Disadvantages of Descriptive Research?  

  • Response and Non-response Bias

Respondents may either decide not to respond to questions or give incorrect responses if they feel the questions are too confidential. When researchers use observational methods, respondents may also decide to behave in a particular manner because they feel they are being watched.

  • The researcher may decide to influence the result of the research due to personal opinion or bias towards a particular subject. For example, a stockbroker who also has a business of his own may try to lure investors into investing in his own company by manipulating results.
  • A case-study or sample taken from a large population is not representative of the whole population.
  • Limited scope:The scope of descriptive research is limited to the what of research, with no information on why thereby limiting the scope of the research.

What are the Data Collection Methods in Descriptive Research?  

There are 3 main data collection methods in descriptive research, namely; observational method, case study method, and survey research.

1. Observational Method

The observational method allows researchers to collect data based on their view of the behaviour and characteristics of the respondent, with the respondents themselves not directly having an input. It is often used in market research, psychology, and some other social science research to understand human behaviour.

It is also an important aspect of physical scientific research, with it being one of the most effective methods of conducting descriptive research . This process can be said to be either quantitative or qualitative.

Quantitative observation involved the objective collection of numerical data , whose results can be analyzed using numerical and statistical methods. 

Qualitative observation, on the other hand, involves the monitoring of characteristics and not the measurement of numbers. The researcher makes his observation from a distance, records it, and is used to inform conclusions.

2. Case Study Method

A case study is a sample group (an individual, a group of people, organizations, events, etc.) whose characteristics are used to describe the characteristics of a larger group in which the case study is a subgroup. The information gathered from investigating a case study may be generalized to serve the larger group.

This generalization, may, however, be risky because case studies are not sufficient to make accurate predictions about larger groups. Case studies are a poor case of generalization.

3. Survey Research

This is a very popular data collection method in research designs. In survey research, researchers create a survey or questionnaire and distribute it to respondents who give answers.

Generally, it is used to obtain quick information directly from the primary source and also conducting rigorous quantitative and qualitative research. In some cases, survey research uses a blend of both qualitative and quantitative strategies.

Survey research can be carried out both online and offline using the following methods

  • Online Surveys: This is a cheap method of carrying out surveys and getting enough responses. It can be carried out using Formplus, an online survey builder. Formplus has amazing tools and features that will help increase response rates.
  • Offline Surveys: This includes paper forms, mobile offline forms , and SMS-based forms.

What Are The Differences Between Descriptive and Correlational Research?  

Before going into the differences between descriptive and correlation research, we need to have a proper understanding of what correlation research is about. Therefore, we will be giving a summary of the correlation research below.

Correlational research is a type of descriptive research, which is used to measure the relationship between 2 variables, with the researcher having no control over them. It aims to find whether there is; positive correlation (both variables change in the same direction), negative correlation (the variables change in the opposite direction), or zero correlation (there is no relationship between the variables).

Correlational research may be used in 2 situations;

(i) when trying to find out if there is a relationship between two variables, and

(ii) when a causal relationship is suspected between two variables, but it is impractical or unethical to conduct experimental research that manipulates one of the variables. 

Below are some of the differences between correlational and descriptive research:

  • Definitions :

Descriptive research aims is a type of research that provides an in-depth understanding of the study population, while correlational research is the type of research that measures the relationship between 2 variables. 

  • Characteristics :

Descriptive research provides descriptive data explaining what the research subject is about, while correlation research explores the relationship between data and not their description.

  • Predictions :

 Predictions cannot be made in descriptive research while correlation research accommodates the possibility of making predictions.

Descriptive Research vs. Causal Research

Descriptive research and causal research are both research methodologies, however, one focuses on a subject’s behaviors while the latter focuses on a relationship’s cause-and-effect. To buttress the above point, descriptive research aims to describe and document the characteristics, behaviors, or phenomena of a particular or specific population or situation. 

It focuses on providing an accurate and detailed account of an already existing state of affairs between variables. Descriptive research answers the questions of “what,” “where,” “when,” and “how” without attempting to establish any causal relationships or explain any underlying factors that might have caused the behavior.

Causal research, on the other hand, seeks to determine cause-and-effect relationships between variables. It aims to point out the factors that influence or cause a particular result or behavior. Causal research involves manipulating variables, controlling conditions or a subgroup, and observing the resulting effects. The primary objective of causal research is to establish a cause-effect relationship and provide insights into why certain phenomena happen the way they do.

Descriptive Research vs. Analytical Research

Descriptive research provides a detailed and comprehensive account of a specific situation or phenomenon. It focuses on describing and summarizing data without making inferences or attempting to explain underlying factors or the cause of the factor. 

It is primarily concerned with providing an accurate and objective representation of the subject of research. While analytical research goes beyond the description of the phenomena and seeks to analyze and interpret data to discover if there are patterns, relationships, or any underlying factors. 

It examines the data critically, applies statistical techniques or other analytical methods, and draws conclusions based on the discovery. Analytical research also aims to explore the relationships between variables and understand the underlying mechanisms or processes involved.

Descriptive Research vs. Exploratory Research

Descriptive research is a research method that focuses on providing a detailed and accurate account of a specific situation, group, or phenomenon. This type of research describes the characteristics, behaviors, or relationships within the given context without looking for an underlying cause. 

Descriptive research typically involves collecting and analyzing quantitative or qualitative data to generate descriptive statistics or narratives. Exploratory research differs from descriptive research because it aims to explore and gain firsthand insights or knowledge into a relatively unexplored or poorly understood topic. 

It focuses on generating ideas, hypotheses, or theories rather than providing definitive answers. Exploratory research is often conducted at the early stages of a research project to gather preliminary information and identify key variables or factors for further investigation. It involves open-ended interviews, observations, or small-scale surveys to gather qualitative data.

Read More – Exploratory Research: What are its Method & Examples?

Descriptive Research vs. Experimental Research

Descriptive research aims to describe and document the characteristics, behaviors, or phenomena of a particular population or situation. It focuses on providing an accurate and detailed account of the existing state of affairs. 

Descriptive research typically involves collecting data through surveys, observations, or existing records and analyzing the data to generate descriptive statistics or narratives. It does not involve manipulating variables or establishing cause-and-effect relationships.

Experimental research, on the other hand, involves manipulating variables and controlling conditions to investigate cause-and-effect relationships. It aims to establish causal relationships by introducing an intervention or treatment and observing the resulting effects. 

Experimental research typically involves randomly assigning participants to different groups, such as control and experimental groups, and measuring the outcomes. It allows researchers to control for confounding variables and draw causal conclusions.

Related – Experimental vs Non-Experimental Research: 15 Key Differences

Descriptive Research vs. Explanatory Research

Descriptive research focuses on providing a detailed and accurate account of a specific situation, group, or phenomenon. It aims to describe the characteristics, behaviors, or relationships within the given context. 

Descriptive research is primarily concerned with providing an objective representation of the subject of study without explaining underlying causes or mechanisms. Explanatory research seeks to explain the relationships between variables and uncover the underlying causes or mechanisms. 

It goes beyond description and aims to understand the reasons or factors that influence a particular outcome or behavior. Explanatory research involves analyzing data, conducting statistical analyses, and developing theories or models to explain the observed relationships.

Descriptive Research vs. Inferential Research

Descriptive research focuses on describing and summarizing data without making inferences or generalizations beyond the specific sample or population being studied. It aims to provide an accurate and objective representation of the subject of study. 

Descriptive research typically involves analyzing data to generate descriptive statistics, such as means, frequencies, or percentages, to describe the characteristics or behaviors observed.

Inferential research, however, involves making inferences or generalizations about a larger population based on a smaller sample. 

It aims to draw conclusions about the population characteristics or relationships by analyzing the sample data. Inferential research uses statistical techniques to estimate population parameters, test hypotheses, and determine the level of confidence or significance in the findings.

Related – Inferential Statistics: Definition, Types + Examples

Conclusion  

The uniqueness of descriptive research partly lies in its ability to explore both quantitative and qualitative research methods. Therefore, when conducting descriptive research, researchers have the opportunity to use a wide variety of techniques that aids the research process.

Descriptive research explores research problems in-depth, beyond the surface level thereby giving a detailed description of the research subject. That way, it can aid further research in the field, including other research methods .

It is also very useful in solving real-life problems in various fields of social science, physical science, and education.

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What is Descriptive Research? Definition, Methods, Types and Examples

What is Descriptive Research? Definition, Methods, Types and Examples

Descriptive research is a methodological approach that seeks to depict the characteristics of a phenomenon or subject under investigation. In scientific inquiry, it serves as a foundational tool for researchers aiming to observe, record, and analyze the intricate details of a particular topic. This method provides a rich and detailed account that aids in understanding, categorizing, and interpreting the subject matter.

Descriptive research design is widely employed across diverse fields, and its primary objective is to systematically observe and document all variables and conditions influencing the phenomenon.

After this descriptive research definition, let’s look at this example. Consider a researcher working on climate change adaptation, who wants to understand water management trends in an arid village in a specific study area. She must conduct a demographic survey of the region, gather population data, and then conduct descriptive research on this demographic segment. The study will then uncover details on “what are the water management practices and trends in village X.” Note, however, that it will not cover any investigative information about “why” the patterns exist.

Table of Contents

What is descriptive research?

If you’ve been wondering “What is descriptive research,” we’ve got you covered in this post! In a nutshell, descriptive research is an exploratory research method that helps a researcher describe a population, circumstance, or phenomenon. It can help answer what , where , when and how questions, but not why questions. In other words, it does not involve changing the study variables and does not seek to establish cause-and-effect relationships.

descriptive research title about school

Importance of descriptive research

Now, let’s delve into the importance of descriptive research. This research method acts as the cornerstone for various academic and applied disciplines. Its primary significance lies in its ability to provide a comprehensive overview of a phenomenon, enabling researchers to gain a nuanced understanding of the variables at play. This method aids in forming hypotheses, generating insights, and laying the groundwork for further in-depth investigations. The following points further illustrate its importance:

Provides insights into a population or phenomenon: Descriptive research furnishes a comprehensive overview of the characteristics and behaviors of a specific population or phenomenon, thereby guiding and shaping the research project.

Offers baseline data: The data acquired through this type of research acts as a reference for subsequent investigations, laying the groundwork for further studies.

Allows validation of sampling methods: Descriptive research validates sampling methods, aiding in the selection of the most effective approach for the study.

Helps reduce time and costs: It is cost-effective and time-efficient, making this an economical means of gathering information about a specific population or phenomenon.

Ensures replicability: Descriptive research is easily replicable, ensuring a reliable way to collect and compare information from various sources.

When to use descriptive research design?

Determining when to use descriptive research depends on the nature of the research question. Before diving into the reasons behind an occurrence, understanding the how, when, and where aspects is essential. Descriptive research design is a suitable option when the research objective is to discern characteristics, frequencies, trends, and categories without manipulating variables. It is therefore often employed in the initial stages of a study before progressing to more complex research designs. To put it in another way, descriptive research precedes the hypotheses of explanatory research. It is particularly valuable when there is limited existing knowledge about the subject.

Some examples are as follows, highlighting that these questions would arise before a clear outline of the research plan is established:

  • In the last two decades, what changes have occurred in patterns of urban gardening in Mumbai?
  • What are the differences in climate change perceptions of farmers in coastal versus inland villages in the Philippines?

Characteristics of descriptive research

Coming to the characteristics of descriptive research, this approach is characterized by its focus on observing and documenting the features of a subject. Specific characteristics are as below.

  • Quantitative nature: Some descriptive research types involve quantitative research methods to gather quantifiable information for statistical analysis of the population sample.
  • Qualitative nature: Some descriptive research examples include those using the qualitative research method to describe or explain the research problem.
  • Observational nature: This approach is non-invasive and observational because the study variables remain untouched. Researchers merely observe and report, without introducing interventions that could impact the subject(s).
  • Cross-sectional nature: In descriptive research, different sections belonging to the same group are studied, providing a “snapshot” of sorts.
  • Springboard for further research: The data collected are further studied and analyzed using different research techniques. This approach helps guide the suitable research methods to be employed.

Types of descriptive research

There are various descriptive research types, each suited to different research objectives. Take a look at the different types below.

  • Surveys: This involves collecting data through questionnaires or interviews to gather qualitative and quantitative data.
  • Observational studies: This involves observing and collecting data on a particular population or phenomenon without influencing the study variables or manipulating the conditions. These may be further divided into cohort studies, case studies, and cross-sectional studies:
  • Cohort studies: Also known as longitudinal studies, these studies involve the collection of data over an extended period, allowing researchers to track changes and trends.
  • Case studies: These deal with a single individual, group, or event, which might be rare or unusual.
  • Cross-sectional studies : A researcher collects data at a single point in time, in order to obtain a snapshot of a specific moment.
  • Focus groups: In this approach, a small group of people are brought together to discuss a topic. The researcher moderates and records the group discussion. This can also be considered a “participatory” observational method.
  • Descriptive classification: Relevant to the biological sciences, this type of approach may be used to classify living organisms.

Descriptive research methods

Several descriptive research methods can be employed, and these are more or less similar to the types of approaches mentioned above.

  • Surveys: This method involves the collection of data through questionnaires or interviews. Surveys may be done online or offline, and the target subjects might be hyper-local, regional, or global.
  • Observational studies: These entail the direct observation of subjects in their natural environment. These include case studies, dealing with a single case or individual, as well as cross-sectional and longitudinal studies, for a glimpse into a population or changes in trends over time, respectively. Participatory observational studies such as focus group discussions may also fall under this method.

Researchers must carefully consider descriptive research methods, types, and examples to harness their full potential in contributing to scientific knowledge.

Examples of descriptive research

Now, let’s consider some descriptive research examples.

  • In social sciences, an example could be a study analyzing the demographics of a specific community to understand its socio-economic characteristics.
  • In business, a market research survey aiming to describe consumer preferences would be a descriptive study.
  • In ecology, a researcher might undertake a survey of all the types of monocots naturally occurring in a region and classify them up to species level.

These examples showcase the versatility of descriptive research across diverse fields.

Advantages of descriptive research

There are several advantages to this approach, which every researcher must be aware of. These are as follows:

  • Owing to the numerous descriptive research methods and types, primary data can be obtained in diverse ways and be used for developing a research hypothesis .
  • It is a versatile research method and allows flexibility.
  • Detailed and comprehensive information can be obtained because the data collected can be qualitative or quantitative.
  • It is carried out in the natural environment, which greatly minimizes certain types of bias and ethical concerns.
  • It is an inexpensive and efficient approach, even with large sample sizes

Disadvantages of descriptive research

On the other hand, this design has some drawbacks as well:

  • It is limited in its scope as it does not determine cause-and-effect relationships.
  • The approach does not generate new information and simply depends on existing data.
  • Study variables are not manipulated or controlled, and this limits the conclusions to be drawn.
  • Descriptive research findings may not be generalizable to other populations.
  • Finally, it offers a preliminary understanding rather than an in-depth understanding.

To reiterate, the advantages of descriptive research lie in its ability to provide a comprehensive overview, aid hypothesis generation, and serve as a preliminary step in the research process. However, its limitations include a potential lack of depth, inability to establish cause-and-effect relationships, and susceptibility to bias.

Frequently asked questions

When should researchers conduct descriptive research.

Descriptive research is most appropriate when researchers aim to portray and understand the characteristics of a phenomenon without manipulating variables. It is particularly valuable in the early stages of a study.

What is the difference between descriptive and exploratory research?

Descriptive research focuses on providing a detailed depiction of a phenomenon, while exploratory research aims to explore and generate insights into an issue where little is known.

What is the difference between descriptive and experimental research?

Descriptive research observes and documents without manipulating variables, whereas experimental research involves intentional interventions to establish cause-and-effect relationships.

Is descriptive research only for social sciences?

No, various descriptive research types may be applicable to all fields of study, including social science, humanities, physical science, and biological science.

How important is descriptive research?

The importance of descriptive research lies in its ability to provide a glimpse of the current state of a phenomenon, offering valuable insights and establishing a basic understanding. Further, the advantages of descriptive research include its capacity to offer a straightforward depiction of a situation or phenomenon, facilitate the identification of patterns or trends, and serve as a useful starting point for more in-depth investigations. Additionally, descriptive research can contribute to the development of hypotheses and guide the formulation of research questions for subsequent studies.

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Descriptive Research: Definition, Characteristics, Methods + Examples

Descriptive Research

Suppose an apparel brand wants to understand the fashion purchasing trends among New York’s buyers, then it must conduct a demographic survey of the specific region, gather population data, and then conduct descriptive research on this demographic segment.

The study will then uncover details on “what is the purchasing pattern of New York buyers,” but will not cover any investigative information about “ why ” the patterns exist. Because for the apparel brand trying to break into this market, understanding the nature of their market is the study’s main goal. Let’s talk about it.

What is descriptive research?

Descriptive research is a research method describing the characteristics of the population or phenomenon studied. This descriptive methodology focuses more on the “what” of the research subject than the “why” of the research subject.

The method primarily focuses on describing the nature of a demographic segment without focusing on “why” a particular phenomenon occurs. In other words, it “describes” the research subject without covering “why” it happens.

Characteristics of descriptive research

The term descriptive research then refers to research questions, the design of the study, and data analysis conducted on that topic. We call it an observational research method because none of the research study variables are influenced in any capacity.

Some distinctive characteristics of descriptive research are:

  • Quantitative research: It is a quantitative research method that attempts to collect quantifiable information for statistical analysis of the population sample. It is a popular market research tool that allows us to collect and describe the demographic segment’s nature.
  • Uncontrolled variables: In it, none of the variables are influenced in any way. This uses observational methods to conduct the research. Hence, the nature of the variables or their behavior is not in the hands of the researcher.
  • Cross-sectional studies: It is generally a cross-sectional study where different sections belonging to the same group are studied.
  • The basis for further research: Researchers further research the data collected and analyzed from descriptive research using different research techniques. The data can also help point towards the types of research methods used for the subsequent research.

Applications of descriptive research with examples

A descriptive research method can be used in multiple ways and for various reasons. Before getting into any survey , though, the survey goals and survey design are crucial. Despite following these steps, there is no way to know if one will meet the research outcome. How to use descriptive research? To understand the end objective of research goals, below are some ways organizations currently use descriptive research today:

  • Define respondent characteristics: The aim of using close-ended questions is to draw concrete conclusions about the respondents. This could be the need to derive patterns, traits, and behaviors of the respondents. It could also be to understand from a respondent their attitude, or opinion about the phenomenon. For example, understand millennials and the hours per week they spend browsing the internet. All this information helps the organization researching to make informed business decisions.
  • Measure data trends: Researchers measure data trends over time with a descriptive research design’s statistical capabilities. Consider if an apparel company researches different demographics like age groups from 24-35 and 36-45 on a new range launch of autumn wear. If one of those groups doesn’t take too well to the new launch, it provides insight into what clothes are like and what is not. The brand drops the clothes and apparel that customers don’t like.
  • Conduct comparisons: Organizations also use a descriptive research design to understand how different groups respond to a specific product or service. For example, an apparel brand creates a survey asking general questions that measure the brand’s image. The same study also asks demographic questions like age, income, gender, geographical location, geographic segmentation , etc. This consumer research helps the organization understand what aspects of the brand appeal to the population and what aspects do not. It also helps make product or marketing fixes or even create a new product line to cater to high-growth potential groups.
  • Validate existing conditions: Researchers widely use descriptive research to help ascertain the research object’s prevailing conditions and underlying patterns. Due to the non-invasive research method and the use of quantitative observation and some aspects of qualitative observation , researchers observe each variable and conduct an in-depth analysis . Researchers also use it to validate any existing conditions that may be prevalent in a population.
  • Conduct research at different times: The analysis can be conducted at different periods to ascertain any similarities or differences. This also allows any number of variables to be evaluated. For verification, studies on prevailing conditions can also be repeated to draw trends.

Advantages of descriptive research

Some of the significant advantages of descriptive research are:

Advantages of descriptive research

  • Data collection: A researcher can conduct descriptive research using specific methods like observational method, case study method, and survey method. Between these three, all primary data collection methods are covered, which provides a lot of information. This can be used for future research or even for developing a hypothesis for your research object.
  • Varied: Since the data collected is qualitative and quantitative, it gives a holistic understanding of a research topic. The information is varied, diverse, and thorough.
  • Natural environment: Descriptive research allows for the research to be conducted in the respondent’s natural environment, which ensures that high-quality and honest data is collected.
  • Quick to perform and cheap: As the sample size is generally large in descriptive research, the data collection is quick to conduct and is inexpensive.

Descriptive research methods

There are three distinctive methods to conduct descriptive research. They are:

Observational method

The observational method is the most effective method to conduct this research, and researchers make use of both quantitative and qualitative observations.

A quantitative observation is the objective collection of data primarily focused on numbers and values. It suggests “associated with, of or depicted in terms of a quantity.” Results of quantitative observation are derived using statistical and numerical analysis methods. It implies observation of any entity associated with a numeric value such as age, shape, weight, volume, scale, etc. For example, the researcher can track if current customers will refer the brand using a simple Net Promoter Score question .

Qualitative observation doesn’t involve measurements or numbers but instead just monitoring characteristics. In this case, the researcher observes the respondents from a distance. Since the respondents are in a comfortable environment, the characteristics observed are natural and effective. In a descriptive research design, the researcher can choose to be either a complete observer, an observer as a participant, a participant as an observer, or a full participant. For example, in a supermarket, a researcher can from afar monitor and track the customers’ selection and purchasing trends. This offers a more in-depth insight into the purchasing experience of the customer.

Case study method

Case studies involve in-depth research and study of individuals or groups. Case studies lead to a hypothesis and widen a further scope of studying a phenomenon. However, case studies should not be used to determine cause and effect as they can’t make accurate predictions because there could be a bias on the researcher’s part. The other reason why case studies are not a reliable way of conducting descriptive research is that there could be an atypical respondent in the survey. Describing them leads to weak generalizations and moving away from external validity.

Survey research

In survey research, respondents answer through surveys or questionnaires or polls . They are a popular market research tool to collect feedback from respondents. A study to gather useful data should have the right survey questions. It should be a balanced mix of open-ended questions and close ended-questions . The survey method can be conducted online or offline, making it the go-to option for descriptive research where the sample size is enormous.

Examples of descriptive research

Some examples of descriptive research are:

  • A specialty food group launching a new range of barbecue rubs would like to understand what flavors of rubs are favored by different people. To understand the preferred flavor palette, they conduct this type of research study using various methods like observational methods in supermarkets. By also surveying while collecting in-depth demographic information, offers insights about the preference of different markets. This can also help tailor make the rubs and spreads to various preferred meats in that demographic. Conducting this type of research helps the organization tweak their business model and amplify marketing in core markets.
  • Another example of where this research can be used is if a school district wishes to evaluate teachers’ attitudes about using technology in the classroom. By conducting surveys and observing their comfortableness using technology through observational methods, the researcher can gauge what they can help understand if a full-fledged implementation can face an issue. This also helps in understanding if the students are impacted in any way with this change.

Some other research problems and research questions that can lead to descriptive research are:

  • Market researchers want to observe the habits of consumers.
  • A company wants to evaluate the morale of its staff.
  • A school district wants to understand if students will access online lessons rather than textbooks.
  • To understand if its wellness questionnaire programs enhance the overall health of the employees.

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Descriptive Research 101: Definition, Methods and Examples

blog author

Parvathi Vijayamohan

Last Updated: 16 July 2024

10 min read

Descriptive Research 101: Definition, Methods and Examples

Table Of Contents

  • Descriptive Research 101: The Definitive Guide

What is Descriptive Research?

  • Key Characteristics
  • Observation
  • Case Studies
  • Types of Descriptive Research
  • Question Examples
  • Real-World Examples

Tips to Excel at Descriptive Research

  • More Interesting Reads

Imagine you are a detective called to a crime scene. Your job is to study the scene and report whatever you find: whether that’s the half-smoked cigarette on the table or the large “RACHE” written in blood on the wall. That, in a nutshell, is  descriptive research .

Researchers often need to do descriptive research on a problem before they attempt to solve it. So in this guide, we’ll take you through:

  • What is descriptive research + its characteristics
  • Descriptive research methods
  • Types of descriptive research
  • Descriptive research examples
  • Tips to excel at the descriptive method

Click to jump to the section that interests you.

Let’s begin by going through what descriptive studies can and cannot do.

Definition: As its name says, descriptive research  describes  the characteristics of the problem, phenomenon, situation, or group under study.

So the goal of all descriptive studies is to  explore  the background, details, and existing patterns in the problem to fully understand it. In other words, preliminary research.

However, descriptive research can be both  preliminary and conclusive . You can use the data from a descriptive study to make reports and get insights for further planning.

What descriptive research isn’t: Descriptive research finds the  what/when/where  of a problem, not the  why/how .

Because of this, we can’t use the descriptive method to explore cause-and-effect relationships where one variable (like a person’s job role) affects another variable (like their monthly income).

Key Characteristics of Descriptive Research

  • Answers the “what,” “when,” and “where”  of a research problem. For this reason, it is popularly used in  market research ,  awareness surveys , and  opinion polls .
  • Sets the stage  for a research problem. As an early part of the research process, descriptive studies help you dive deeper into the topic.
  • Opens the door  for further research. You can use descriptive data as the basis for more profound research, analysis and studies.
  • Qualitative and quantitative research . It is possible to get a balanced mix of numerical responses and open-ended answers from the descriptive method.
  • No control or interference with the variables . The researcher simply observes and reports on them. However, specific research software has filters that allow her to zoom in on one variable.
  • Done in natural settings . You can get the best results from descriptive research by talking to people, surveying them, or observing them in a suitable environment. For example, suppose you are a website beta testing an app feature. In that case, descriptive research invites users to try the feature, tracking their behavior and then asking their opinions .
  • Can be applied to many research methods and areas. Examples include healthcare, SaaS, psychology, political studies, education, and pop culture.

Descriptive Research Methods: The Top Three You Need to Know!

In short, survey research is a brief interview or conversation with a set of prepared questions about a topic. So you create a questionnaire, share it, and analyze the data you collect for further action.

Read more : The difference between surveys vs questionnaires

  • Surveys can be hyper-local, regional, or global, depending on your objectives.
  • Share surveys in-person, offline, via SMS, email, or QR codes – so many options!
  • Easy to automate if you want to conduct many surveys over a period.

FYI: If you’re looking for the perfect tool to conduct descriptive research, SurveySparrow’s got you covered. Our AI-powered text and sentiment analysis help you instantly capture detailed insights for your studies.

With 1,000+ customizable (and free) survey templates , 20+ question types, and 1500+ integrations , SurveySparrow makes research super-easy.

Want to try out our platform? Click on the template below to start using it.👇

Product Market Research Survey Template

Preview Template

 Product Market Research Survey Template

2. Observation

The observational method is a type of descriptive research in which you, the researcher, observe ongoing behavior.

Now, there are several (non-creepy) ways you can observe someone. In fact, observational research has three main approaches:

  • Covert observation: In true spy fashion, the researcher mixes in with the group undetected or observes from a distance.
  • Overt observation : The researcher identifies himself as a researcher – “The name’s Bond. J. Bond.” – and explains the purpose of the study.
  • Participatory observation : The researcher participates in what he is observing to understand his topic better.
  • Observation is one of the most accurate ways to get data on a subject’s behavior in a natural setting.
  • You don’t need to rely on people’s willingness to share information.
  • Observation is a universal method that can be applied to any area of research.

3. Case Studies

In the case study method, you do a detailed study of a specific group, person, or event over a period.

This brings us to a frequently asked question: “What’s the difference between case studies and longitudinal studies?”

A case study will go  very in-depth into the subject with one-on-one interviews, observations, and archival research. They are also qualitative, though sometimes they will use numbers and stats.

An example of longitudinal research would be a study of the health of night shift employees vs. general shift employees over a decade. An example of a case study would involve in-depth interviews with Casey, an assistant director of nursing who’s handled the night shift at the hospital for ten years now.

  • Due to the focus on a few people, case studies can give you a tremendous amount of information.
  • Because of the time and effort involved, a case study engages both researchers and participants.
  • Case studies are helpful for ethically investigating unusual, complex, or challenging subjects. An example would be a study of the habits of long-term cocaine users.

7 Types of Descriptive Research

Cross-sectional researchStudies a particular group of people or their sections at a given point in time. Example: current social attitudes of Gen Z in the US
Longitudinal researchStudies a group of people over a long period of time. Example: tracking changes in social attitudes among Gen-Zers from 2022 – 2032.
Normative researchCompares the results of a study against the existing norms. Example: comparing a verdict in a legal case against similar cases.
Correlational/relational researchInvestigates the type of relationship and patterns between 2 variables. Example: music genres and mental states.
Comparative researchCompares 2 or more similar people, groups or conditions based on specific traits. Example: job roles of employees in similar positions from two different companies.
Classification researchArranges the data into classes according to certain criteria for better analysis. Example: the classification of newly discovered insects into species.
Archival researchSearching for and extracting information from past records. Example: Tracking US Census data over the decades.

Descriptive Research Question Examples

  • How have teen social media habits changed in 10 years?
  • What causes high employee turnover in tech?
  • How do urban and rural diets differ in India?
  • What are consumer preferences for electric vs. gasoline cars in Germany?
  • How common is smartphone addiction among UK college students?
  • What drives customer satisfaction in banking?
  • How have adolescent mental health issues changed in 15 years?
  • What leisure activities are popular among retirees in Japan?
  • How do commute times vary in US metro areas?
  • What makes e-commerce websites successful?

Descriptive Research: Real-World Examples To Build Your Next Study

1. case study: airbnb’s growth strategy.

In an excellent case study, Tam Al Saad, Principal Consultant, Strategy + Growth at Webprofits, deep dives into how Airbnb attracted and retained 150 million users .

“What Airbnb offers isn’t a cheap place to sleep when you’re on holiday; it’s the opportunity to experience your destination as a local would. It’s the chance to meet the locals, experience the markets, and find non-touristy places.

Sure, you can visit the Louvre, see Buckingham Palace, and climb the Empire State Building, but you can do it as if it were your hometown while staying in a place that has character and feels like a home.” – Tam al Saad, Principal Consultant, Strategy + Growth at Webprofits

2. Observation – Better Tech Experiences for the Elderly

We often think that our elders are so hopeless with technology. But we’re not getting any younger either, and tech is changing at a hair trigger! This article by Annemieke Hendricks shares a wonderful example where researchers compare the levels of technological familiarity between age groups and how that influences usage.

“It is generally assumed that older adults have difficulty using modern electronic devices, such as mobile telephones or computers. Because this age group is growing in most countries, changing products and processes to adapt to their needs is increasingly more important. “ – Annemieke Hendricks, Marketing Communication Specialist, Noldus

3. Surveys – Decoding Sleep with SurveySparrow

SRI International (formerly Stanford Research Institute) – an independent, non-profit research center – wanted to investigate the impact of stress on an adolescent’s sleep. To get those insights, two actions were essential: tracking sleep patterns through wearable devices and sending surveys at a pre-set time – the pre-sleep period.

“With SurveySparrow’s recurring surveys feature, SRI was able to share engaging surveys with their participants exactly at the time they wanted and at the frequency they preferred.”

Read more about this project : How SRI International decoded sleep patterns with SurveySparrow

1: Answer the six Ws –

  • Who should we consider?
  • What information do we need?
  • When should we collect the information?
  • Where should we collect the information?
  • Why are we obtaining the information?
  • Way to collect the information

#2: Introduce and explain your methodological approach

#3: Describe your methods of data collection and/or selection.

#4: Describe your methods of analysis.

#5: Explain the reasoning behind your choices.

#6: Collect data.

#7: Analyze the data. Use software to speed up the process and reduce overthinking and human error.

#8: Report your conclusions and how you drew the results.

Wrapping Up

Whether it’s social media habits, consumer preferences, or mental health trends, descriptive research provides a clear snapshot into what people actually think.

If you want to know more about feedback methodology, or research, check out some of our other articles below.

👉 Desk Research 101: Definition, Methods, and Examples

👉 Exploratory Research: Your Guide to Unraveling Insights

👉 Design Research: Types, Methods, and Importance

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  • What is descriptive research?

Last updated

5 February 2023

Reviewed by

Cathy Heath

Short on time? Get an AI generated summary of this article instead

Descriptive research is a common investigatory model used by researchers in various fields, including social sciences, linguistics, and academia.

Read on to understand the characteristics of descriptive research and explore its underlying techniques, processes, and procedures.

Analyze your descriptive research

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Descriptive research is an exploratory research method. It enables researchers to precisely and methodically describe a population, circumstance, or phenomenon.

As the name suggests, descriptive research describes the characteristics of the group, situation, or phenomenon being studied without manipulating variables or testing hypotheses . This can be reported using surveys , observational studies, and case studies. You can use both quantitative and qualitative methods to compile the data.

Besides making observations and then comparing and analyzing them, descriptive studies often develop knowledge concepts and provide solutions to critical issues. It always aims to answer how the event occurred, when it occurred, where it occurred, and what the problem or phenomenon is.

  • Characteristics of descriptive research

The following are some of the characteristics of descriptive research:

Quantitativeness

Descriptive research can be quantitative as it gathers quantifiable data to statistically analyze a population sample. These numbers can show patterns, connections, and trends over time and can be discovered using surveys, polls, and experiments.

Qualitativeness

Descriptive research can also be qualitative. It gives meaning and context to the numbers supplied by quantitative descriptive research .

Researchers can use tools like interviews, focus groups, and ethnographic studies to illustrate why things are what they are and help characterize the research problem. This is because it’s more explanatory than exploratory or experimental research.

Uncontrolled variables

Descriptive research differs from experimental research in that researchers cannot manipulate the variables. They are recognized, scrutinized, and quantified instead. This is one of its most prominent features.

Cross-sectional studies

Descriptive research is a cross-sectional study because it examines several areas of the same group. It involves obtaining data on multiple variables at the personal level during a certain period. It’s helpful when trying to understand a larger community’s habits or preferences.

Carried out in a natural environment

Descriptive studies are usually carried out in the participants’ everyday environment, which allows researchers to avoid influencing responders by collecting data in a natural setting. You can use online surveys or survey questions to collect data or observe.

Basis for further research

You can further dissect descriptive research’s outcomes and use them for different types of investigation. The outcomes also serve as a foundation for subsequent investigations and can guide future studies. For example, you can use the data obtained in descriptive research to help determine future research designs.

  • Descriptive research methods

There are three basic approaches for gathering data in descriptive research: observational, case study, and survey.

You can use surveys to gather data in descriptive research. This involves gathering information from many people using a questionnaire and interview .

Surveys remain the dominant research tool for descriptive research design. Researchers can conduct various investigations and collect multiple types of data (quantitative and qualitative) using surveys with diverse designs.

You can conduct surveys over the phone, online, or in person. Your survey might be a brief interview or conversation with a set of prepared questions intended to obtain quick information from the primary source.

Observation

This descriptive research method involves observing and gathering data on a population or phenomena without manipulating variables. It is employed in psychology, market research , and other social science studies to track and understand human behavior.

Observation is an essential component of descriptive research. It entails gathering data and analyzing it to see whether there is a relationship between the two variables in the study. This strategy usually allows for both qualitative and quantitative data analysis.

Case studies

A case study can outline a specific topic’s traits. The topic might be a person, group, event, or organization.

It involves using a subset of a larger group as a sample to characterize the features of that larger group.

You can generalize knowledge gained from studying a case study to benefit a broader audience.

This approach entails carefully examining a particular group, person, or event over time. You can learn something new about the study topic by using a small group to better understand the dynamics of the entire group.

  • Types of descriptive research

There are several types of descriptive study. The most well-known include cross-sectional studies, census surveys, sample surveys, case reports, and comparison studies.

Case reports and case series

In the healthcare and medical fields, a case report is used to explain a patient’s circumstances when suffering from an uncommon illness or displaying certain symptoms. Case reports and case series are both collections of related cases. They have aided the advancement of medical knowledge on countless occasions.

The normative component is an addition to the descriptive survey. In the descriptive–normative survey, you compare the study’s results to the norm.

Descriptive survey

This descriptive type of research employs surveys to collect information on various topics. This data aims to determine the degree to which certain conditions may be attained.

You can extrapolate or generalize the information you obtain from sample surveys to the larger group being researched.

Correlative survey

Correlative surveys help establish if there is a positive, negative, or neutral connection between two variables.

Performing census surveys involves gathering relevant data on several aspects of a given population. These units include individuals, families, organizations, objects, characteristics, and properties.

During descriptive research, you gather different degrees of interest over time from a specific population. Cross-sectional studies provide a glimpse of a phenomenon’s prevalence and features in a population. There are no ethical challenges with them and they are quite simple and inexpensive to carry out.

Comparative studies

These surveys compare the two subjects’ conditions or characteristics. The subjects may include research variables, organizations, plans, and people.

Comparison points, assumption of similarities, and criteria of comparison are three important variables that affect how well and accurately comparative studies are conducted.

For instance, descriptive research can help determine how many CEOs hold a bachelor’s degree and what proportion of low-income households receive government help.

  • Pros and cons

The primary advantage of descriptive research designs is that researchers can create a reliable and beneficial database for additional study. To conduct any inquiry, you need access to reliable information sources that can give you a firm understanding of a situation.

Quantitative studies are time- and resource-intensive, so knowing the hypotheses viable for testing is crucial. The basic overview of descriptive research provides helpful hints as to which variables are worth quantitatively examining. This is why it’s employed as a precursor to quantitative research designs.

Some experts view this research as untrustworthy and unscientific. However, there is no way to assess the findings because you don’t manipulate any variables statistically.

Cause-and-effect correlations also can’t be established through descriptive investigations. Additionally, observational study findings cannot be replicated, which prevents a review of the findings and their replication.

The absence of statistical and in-depth analysis and the rather superficial character of the investigative procedure are drawbacks of this research approach.

  • Descriptive research examples and applications

Several descriptive research examples are emphasized based on their types, purposes, and applications. Research questions often begin with “What is …” These studies help find solutions to practical issues in social science, physical science, and education.

Here are some examples and applications of descriptive research:

Determining consumer perception and behavior

Organizations use descriptive research designs to determine how various demographic groups react to a certain product or service.

For example, a business looking to sell to its target market should research the market’s behavior first. When researching human behavior in response to a cause or event, the researcher pays attention to the traits, actions, and responses before drawing a conclusion.

Scientific classification

Scientific descriptive research enables the classification of organisms and their traits and constituents.

Measuring data trends

A descriptive study design’s statistical capabilities allow researchers to track data trends over time. It’s frequently used to determine the study target’s current circumstances and underlying patterns.

Conduct comparison

Organizations can use a descriptive research approach to learn how various demographics react to a certain product or service. For example, you can study how the target market responds to a competitor’s product and use that information to infer their behavior.

  • Bottom line

A descriptive research design is suitable for exploring certain topics and serving as a prelude to larger quantitative investigations. It provides a comprehensive understanding of the “what” of the group or thing you’re investigating.

This research type acts as the cornerstone of other research methodologies . It is distinctive because it can use quantitative and qualitative research approaches at the same time.

What is descriptive research design?

Descriptive research design aims to systematically obtain information to describe a phenomenon, situation, or population. More specifically, it helps answer the what, when, where, and how questions regarding the research problem rather than the why.

How does descriptive research compare to qualitative research?

Despite certain parallels, descriptive research concentrates on describing phenomena, while qualitative research aims to understand people better.

How do you analyze descriptive research data?

Data analysis involves using various methodologies, enabling the researcher to evaluate and provide results regarding validity and reliability.

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191+ Descriptive Research Topics for High School Students [2024]

descriptive-research-topics-for-high-school-students

  • Post author By Ankit
  • February 2, 2024

As we all know, descriptive research topics for high school students are like the door that helps them to learn how and why things occur. Descriptive research is like being a detective, where we deeply watch and talk about what is happening.  

This blog will find the top 191+ descriptive research topics for high school students that will help them build essential skills for their future.

But the main question is why these topics matter the most. Descriptive research is something we do for school and a skill that allows us to observe and share specific information. 

Understanding what’s happening around you, noticing how people behave, or explaining scientific stuff – being good at explaining these things is like having a superpower. Let’s go and find the descriptive research topics for high school students.

Also Read: 130+ Mental Health Research Topics for High School Students: Unlocking Minds

Table of Contents

Importance Of The Descriptive Research Topics For High School Students

Learn the importance of descriptive research topics for high school students.

  • Helps students learn research skills – Describing things, like surveys and watching people, lets students practice basic skills like making research questions, collecting and studying data, and making conclusions. Mastering these crucial skills prepares them for more advanced research.
  • Gets students interested – Describing topics often focuses on real-world stuff important to students’ lives, which helps get them curious. Surveys about what students think or watching food waste in the cafeteria are more fascinating than theoretical topics.
  • Teaches critical thinking – Defining and learning about things requires students to think hard about causes, effects, biases, reliability of where information comes from, other reasons, and more. This thinking supports their overall reasoning abilities.
  • Allows for creativity – Unlike more strict number experiments, describing research leaves room for students to get creative with topics, research design, ways to gather data, and presentation of findings. This sparks new ideas in their mind.
  • Simpler to do – Describing research is generally simpler than true experimental research, making it more possible for high school students to complete projects alone within limited time and resources. This helps them to build their confidence.

What Makes A Perfect Descriptive Research Paper?

Check out the top traits that make a perfect descriptive research paper that you must know.

The topic of study should have clear definitions and boundaries so that both the student and teacher fully understand the scope of the research. Ambiguous topics lead to confusion and ineffective research.

Originality

The student should select a novel topic that has not been fully researched. Exploring new territory or examining a familiar topic from an innovative lens furthers knowledge more than repetitive research.

The topic should connect to the student’s background knowledge, interests, and available resources. Familiarity and access to information facilitate more meaningful and efficient research.

The student must consider the ethical importance of the research to avoid causing harm to people, animals, or the environment. Unethical practices waste resources and reflect poorly on the researcher’s integrity.

Thus, these are the ways that make a descriptive research paper perfect.

191+ Great Descriptive Research Topics for High School Students

Check out the latest descriptive research topics for high school students in 2024.

  • Evolution of Teaching Methods
  • School Choice and Student Performance
  • Impact of Multilingual Education
  • Integrating Technology in Classroom Learning
  • Homeschooling: Trends and Results
  • Assessment of Project-Based Learning
  • Teacher Burnout and Retention
  • The Role of Educational Leadership
  • Homeschooling vs. Traditional Schooling
  • Innovative Approaches to Homework
  • Impact of Social Isolation on Mental Health
  • Relationship Between Personality Traits and Academic Success
  • The Psychology of Procrastination
  • Cognitive Benefits of Bilingualism
  • Role of Emotional Intelligence in Academic Achievement
  • Effects of Peer Pressure on Decision-Making
  • Parenting Styles and Adolescent Behavior
  • Influence of Music on Mood and Productivity
  • Social Comparison and Self-Esteem
  • Impact of Positive Reinforcement on Behavior

Social Issues

  • The Digital Divide in Education
  • Socioeconomic Disparities in Educational Opportunities
  • Representation of Minorities in Curriculum
  • Gender Equity in STEM Education
  • Bullying in the Age of Social Media
  • Impact of Immigration Policies on Student Communities
  • Access to Education for Refugee Children
  • LGBTQ+ Inclusivity in School Curricula
  • Teenage Pregnancy and Educational Attainment
  • Perceptions of Racial Diversity in Schools
  • E-learning Platforms and Student Engagement
  • Impact of Augmented Reality in Education
  • Cybersecurity Education in High Schools
  • Gamification in the Classroom
  • Student Attitudes Towards Online Assessments
  • The Use of Artificial Intelligence in Education
  • Blockchain in Academic Credentialing
  • Digital Literacy and Information Retrieval Skills
  • Online Collaboration Tools in Group Projects
  • Accessibility of Technology in Underprivileged Schools

Health and Wellness

  • Relationship Between Physical Activity and Academic Success
  • Nutrition Education and Healthy Eating Habits
  • Sleep Hygiene and Academic Performance
  • Mental Health Education in Schools
  • The Impact of School Gardens on Student Health
  • Substance Abuse Education and Prevention
  • Role of Physical Education in Holistic Development
  • Cyberbullying and Mental Health
  • Effectiveness of Stress Management Programs
  • Peer Counseling and Mental Health Support

Environmental Education

  • Eco-Friendly Practices in School Buildings
  • Impact of Environmental Education on Attitudes
  • Biodiversity Education in High Schools
  • Sustainable Living Education for Students
  • The Role of Schools in Climate Change Awareness
  • Green Initiatives in School Curricula
  • Environmental Justice Education
  • Recycling Programs in Educational Institutions
  • Outdoor Education and Environmental Stewardship
  • The Impact of Nature-Based Learning on Academic Performance

Arts and Culture

  • Influence of Arts Education on Academic Achievement
  • Cultural Competence Education in High Schools
  • Music Education and Cognitive Development
  • Integration of Cultural Diversity in Literature Courses
  • The Role of Theater Arts in Education
  • Visual Arts Education and Creativity
  • Impact of Media Literacy Education on Critical Thinking
  • Cultural Heritage Education in High Schools
  • Literature-Based Learning and Reading Proficiency
  • The Effectiveness of Museums in Supplementing Education

STEM Education

  • Robotics Education and Problem-Solving Skills
  • Coding Education in High Schools
  • Gender Disparities in STEM Enrollment
  • Project-Based STEM Learning
  • Impact of STEM Extracurricular Activities
  • 3D Printing in STEM Education
  • Cybersecurity Education for High School Students
  • The Role of STEM Competitions in Skill Development
  • Engineering Education and Creativity
  • STEM Education for Sustainable Development

Sports and Physical Education

  • Influence of Sports Participation on Academic Achievement
  • The Role of Physical Education in Character Development
  • Team Sports vs. Individual Sports in School Programs
  • Impact of Competitive Sports on Leadership Skills
  • Adapted Physical Education for Special Needs Students
  • Sports-Based Youth Development Programs
  • Sportsmanship Education in High Schools
  • Benefits of Intramural Sports Programs
  • Integrating Technology in Sports Education
  • Influence of Coach-Student Relationships on Academic Performance

Career and Technical Education

  • Perceptions of Vocational Education in High Schools
  • The Effectiveness of Apprenticeship Programs
  • Role of Career Guidance Counselors in Decision-Making
  • The Impact of Internships on Career Preparedness
  • Entrepreneurship Education and Innovation
  • Technical Skills Education for the Future Workforce
  • The Perception of Trade Schools in High School
  • Importance of Financial Literacy Education
  • Role of Soft Skills in Career Success
  • The Effectiveness of Job Shadowing Programs

Parental Involvement

  • The Effect of Parental Involvement on Task Completion
  • Parent-Teacher Communication and Academic Success
  • Parental Engagement in School Governance
  • The Effect of Parental Involvement on Extracurricular Activities
  • Cultural Influences on Parental Involvement
  • Parental Perspectives on School Policies
  • Parental Support for Special Education Programs
  • The Impact Of What Parents Expect On The Jobs Their Children Choose.
  • Parental Involvement in the College Application Process
  • Parental Involvement in Anti-Bullying Initiatives

Inclusion and Special Education

  • The Effectiveness of Inclusive Education Programs
  • Attitudes Toward Inclusion of Students with Disabilities
  • Assistive Technology in Special Education
  • Inclusive Physical Education Programs
  • The Impact of Special Education Labels on Student Perceptions
  • Teacher Preparedness for Inclusive Classrooms
  • The Role of Paraeducators in Special Education
  • Parental Perspectives on Inclusive Education
  • Access to Extracurricular Activities for Special Needs Students
  • The Effect of Inclusive Education on Social Integration

School Safety

  • Student Perceptions of School Safety Measures
  • The Impact of School Security Measures on Learning
  • Bullying Prevention Programs in High Schools
  • School Emergency Preparedness and Response
  • The Role of School Resource Officers in Safety
  • Mental Health Support in School Safety Programs
  • Student Perspectives on School Security Drills
  • School Safety Education for Students
  • Security Measures for Cyber Threats in Schools
  • How the design of a building affects safety in schools.

Student Motivation

  • Factors Affecting Student Motivation in High School
  • The Role of Goal Setting in Student Achievement
  • Intrinsic vs. Extrinsic Motivation in Learning
  • Student Perspectives on Teacher Encouragement
  • Impact of Student Recognition Programs on Motivation
  • The Relationship Between Motivation and Attendance
  • Peer Influence on Academic Motivation
  • The Impact of Positive Feedback on Motivation
  • Parental Support and Student Motivation
  • The Role of Extracurricular Activities in Student Engagement

Peer Relationships

  • Effects of Peer Mentoring Programs on Academic Success
  • Peer Relationships and Emotional Well-being
  • The Influence of Peer Pressure on Academic Choices
  • Student Perspectives on Peer Conflict Resolution
  • The Role of Peer Tutoring in Learning
  • Peer Relationships in Virtual Learning Environments
  • Cross-Grade Peer Relationships in High Schools
  • Impact of Social Media on Peer Interactions
  • The Effect of Inclusive Education on Peer Relationships
  • Student Perspectives on Diversity in Peer Groups

Teacher-Student Interactions

  • Impact of Teacher-Student Relationships on Academic Achievement
  • The Role of Positive Reinforcement in Teacher-Student Interactions
  • Teacher Communication Styles and Student Engagement
  • Student Perspectives on Fairness in Classroom Interactions
  • Teacher Use of Humor and Its Effect on Learning
  • The Influence of Teacher Diversity on Student Achievement
  • The Role of Nonverbal Communication in Classroom Interactions
  • Teacher Expectations and Student Performance
  • How Teacher Feedback Affects Student Motivation
  • Cross-Cultural Teacher-Student Interactions

Classroom Environment

  • Impact of Classroom Design on Student Learning
  • Learner Perspectives on Classroom Rules and Discipline
  • The Role of Classroom Norms in Academic Success
  • Classroom Seating Arrangements and Interaction Patterns
  • Student Perspectives on Classroom Technology
  • The Effect of Classroom Lighting on Focus
  • The Role of Classroom Decor in Learning
  • Classroom Noise Levels and Concentration
  • Student Perspectives on Group Work in Classrooms
  • The Impact of Flexible Seating on Student Engagement

Standardized Testing

  • Student Attitudes Toward Standardized Testing
  • The Effect of Test Stress on Test Performance
  • Teacher Perspectives on Standardized Testing
  • Standardized Testing and Its Influence on Curriculum
  • The Effectiveness of Test Preparation Programs
  • Gender and Racial Disparities in Standardized Testing
  • The Relationship Between Standardized Testing and Accountability
  • Student Perceptions of Standardized Testing Policies
  • The Impact of Standardized Testing on Teacher Instruction
  • The Future of Standardized Testing in Education

Educational Policies

  • Impact of Educational Policies on Classroom Practices
  • Teacher Perspectives on Education Reform
  • Student Perspectives on Grading Policies
  • The Role of Standardized Testing in Educational Policies
  • Inclusive Education Policies and Implementation
  • The Effectiveness of Zero-Tolerance Policies
  • The Effect Of No Child Left Behind On How Well Students Do In School
  • School Choice Policies and Student Outcomes
  • Teacher Evaluation Policies and Teacher Morale
  • The Influence of Education Funding Policies on Student Opportunities

Global Perspectives

  • International Student Exchanges and Cultural Understanding
  • The Impact of Global Education Initiatives on Local Curricula
  • Cross-Cultural Views on Education
  • Global Competency Education in High Schools
  • Student Perspectives on Global Issues Education
  • The Effectiveness of Global Citizenship Education
  • The Role of Technology in Connecting Global Classrooms
  • Cultural Exchange Programs and Their Educational Impact
  • Global Perspectives on Inclusive Education
  • The Influence of International Assessments on Educational Practices

Now, you have understood the trending descriptive research topics for high school students. It’s time to move on to how to choose the best one for you.

How To Choose Descriptive Research Topics For High School Students?

Read the top ways you can choose the descriptive research topics for high school.

1. Pick a Topic That Interests You

Selecting a research topic you find truly exciting makes the research process more fun. Discuss issues you feel strongly about or subjects you want to learn more about. Your excitement will show in your writing.

2. Look at Current Events and News

As we all know, researching something happening in the world right now can give us many fascinating details. Pay attention to big news stories and trends to get timely topic ideas.

3. Consider Your Class Subjects and Curriculum

Your school courses cover many exciting topics worth exploring in a research paper. Think about class lectures or textbook chapters you enjoyed learning about. Describing a topic tied to your classes shows what you have learned.

4. Research Different Viewpoints on an Issue

Picking a controversial issue and describing people’s views leads to an insightful paper. Look at all angles of complex social, political, or ethical dilemmas.

5. Select a Local Topic to Study

A descriptive study of something happening in your local community allows first-hand research. People, places, events, or businesses in your hometown offer great topic options to describe from experience.

6. Find a Topic With Available Data To Analyze

Look for a research topic with surveys, statistics, experiments, or other data sources you can describe in detail. Quantitative data gives descriptive papers more sense.

7. Identify Something To Observe and Describe

An observational study describes the details of what you witness happening. Watch people’s behavior in public or study a place or activity you can observe directly.

8. Choose A Specific Topic

Broad topics must be narrowed into a focused descriptive study. Pick ideas that can be honed into a specific angle or research question to describe in your paper thoroughly.

9. Talk to Your Teacher About Ideas

Your teacher can help steer you towards manageable topics tied to your studies and guide you away from too broad subjects. Discuss your interests.

10. Make Sure You Can Describe the Topic Thoroughly

Finally, ensure your descriptive research topic allows for plenty of in-depth, sensory details. Pick ideas with ample aspects, perspectives, and data to describe at length.

After this, let’s learn top tips to craft descriptive research topics for high school students.

Top Benefits of Descriptive Research Topics for High School Students

Here are the top benefits of descriptive research topics for high school students.

  • Builds Critical Thinking Abilities

Doing descriptive research means students must ask queries, monitor, analyze info, and make conclusions. This process supports their critical thinking skills.

  • Shows How to Collect Data the Right Way

Descriptive research teaches students how to gather data in an organized manner. They learn to do surveys, interviews, and experiments to collect helpful data.

  • Inspires Curiosity and Interest in Learning

Students get to pick topics they find interesting for descriptive research projects. This makes them more curious and enthusiastic to learn.

  • Allows Exploration of Real-World Problems

These let students explore real issues in their towns and the world. This makes learning more relevant.

  • Develops Research and Writing Abilities

Descriptive projects help improve research, writing, and communication skills, from research to final reports.

  • Promotes Teamwork and Working Together

Students can unite on descriptive research topics. It allows them to practice teamwork, responsibility, and working together.

  • Provides Hands-On Learning Experiences

These topics are active processes that give students first-hand experience, not just book knowledge.

  • Develops Time Management and Organization Abilities

There are many steps in descriptive research. Following deadlines and organizing information teaches valuable time management abilities.

  • Allows Customization Based on Interests

Students can choose descriptive research topics that match their interests and passions. This makes projects more meaningful.

  • Prepares for College and Future Jobs

The research and analytical skills used in descriptive projects will be valuable in college and careers.

Final Words,

From the blog, it is clear that students from descriptive research topics for high school can learn by observing and describing things at school. The main goal is to pick something at school and observe it closely. 

This research teaches students to gather facts in an organized way. It’s good practice for more advanced research later. Students can do exciting projects with thoughtful planning by observing and describing their daily school lives.

Can high school students work together on a descriptive research project?

Yes, it’s a good idea! Teaming up with classmates means you can combine your thoughts, resources, and skills, making the research project more vital and more complete.

How can descriptive research projects be part of high school lessons?

Teachers can mix descriptive research into science, social studies, or English. This encourages students to ask questions and think critically.

Are there things to help high school students with descriptive research projects?

Yes, there are lots of things! You can use library books and online databases and get guidance from teachers or mentors to help you develop and carry out your descriptive research project.

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Child Care and Early Education Research Connections

Descriptive research studies.

Descriptive research is a type of research that is used to describe the characteristics of a population. It collects data that are used to answer a wide range of what, when, and how questions pertaining to a particular population or group. For example, descriptive studies might be used to answer questions such as: What percentage of Head Start teachers have a bachelor's degree or higher? What is the average reading ability of 5-year-olds when they first enter kindergarten? What kinds of math activities are used in early childhood programs? When do children first receive regular child care from someone other than their parents? When are children with developmental disabilities first diagnosed and when do they first receive services? What factors do programs consider when making decisions about the type of assessments that will be used to assess the skills of the children in their programs? How do the types of services children receive from their early childhood program change as children age?

Descriptive research does not answer questions about why a certain phenomenon occurs or what the causes are. Answers to such questions are best obtained from  randomized and quasi-experimental studies . However, data from descriptive studies can be used to examine the relationships (correlations) among variables. While the findings from correlational analyses are not evidence of causality, they can help to distinguish variables that may be important in explaining a phenomenon from those that are not. Thus, descriptive research is often used to generate hypotheses that should be tested using more rigorous designs.

A variety of data collection methods may be used alone or in combination to answer the types of questions guiding descriptive research. Some of the more common methods include surveys, interviews, observations, case studies, and portfolios. The data collected through these methods can be either quantitative or qualitative. Quantitative data are typically analyzed and presenting using  descriptive statistics . Using quantitative data, researchers may describe the characteristics of a sample or population in terms of percentages (e.g., percentage of population that belong to different racial/ethnic groups, percentage of low-income families that receive different government services) or averages (e.g., average household income, average scores of reading, mathematics and language assessments). Quantitative data, such as narrative data collected as part of a case study, may be used to organize, classify, and used to identify patterns of behaviors, attitudes, and other characteristics of groups.

Descriptive studies have an important role in early care and education research. Studies such as the  National Survey of Early Care and Education  and the  National Household Education Surveys Program  have greatly increased our knowledge of the supply of and demand for child care in the U.S. The  Head Start Family and Child Experiences Survey  and the  Early Childhood Longitudinal Study Program  have provided researchers, policy makers and practitioners with rich information about school readiness skills of children in the U.S.

Each of the methods used to collect descriptive data have their own strengths and limitations. The following are some of the strengths and limitations of descriptive research studies in general.

Study participants are questioned or observed in a natural setting (e.g., their homes, child care or educational settings).

Study data can be used to identify the prevalence of particular problems and the need for new or additional services to address these problems.

Descriptive research may identify areas in need of additional research and relationships between variables that require future study. Descriptive research is often referred to as "hypothesis generating research."

Depending on the data collection method used, descriptive studies can generate rich datasets on large and diverse samples.

Limitations:

Descriptive studies cannot be used to establish cause and effect relationships.

Respondents may not be truthful when answering survey questions or may give socially desirable responses.

The choice and wording of questions on a questionnaire may influence the descriptive findings.

Depending on the type and size of sample, the findings may not be generalizable or produce an accurate description of the population of interest.

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Descriptive Analysis: How-To, Types, Examples

PESTLEanalysis Team

We review the basics of descriptive analysis, including what exactly it is, what benefits it has, how to do it, as well as some types and examples.

From diagnostic to predictive, there are many different types of data analysis . Perhaps the most straightforward of them is descriptive analysis, which seeks to describe or summarize past and present data, helping to create accessible data insights. In this short guide, we'll review the basics of descriptive analysis, including what exactly it is, what benefits it has, how to do it, as well as some types and examples.

What Is Descriptive Analysis?

Descriptive analysis, also known as descriptive analytics or descriptive statistics, is the process of using statistical techniques to describe or summarize a set of data. As one of the major types of data analysis, descriptive analysis is popular for its ability to generate accessible insights from otherwise uninterpreted data.

Unlike other types of data analysis, the descriptive analysis does not attempt to make predictions about the future. Instead, it draws insights solely from past data, by manipulating in ways that make it more meaningful.

Benefits of Descriptive Analysis

Descriptive analysis is all about trying to describe or summarize data. Although it doesn't make predictions about the future, it can still be extremely valuable in business environments . This is chiefly because descriptive analysis makes it easier to consume data, which can make it easier for analysts to act on.

Another benefit of descriptive analysis is that it can help to filter out less meaningful data. This is because the statistical techniques used within this type of analysis usually focus on the patterns in data, and not the outliers.

Types of Descriptive Analysis

According to CampusLabs.com , descriptive analysis can be categorized as one of four types. They are measures of frequency, central tendency, dispersion or variation, and position.

Measures of Frequency

In descriptive analysis, it's essential to know how frequently a certain event or response occurs. This is the purpose of measures of frequency, like a count or percent. For example, consider a survey where 1,000 participants are asked about their favourite ice cream flavor. A list of 1,000 responses would be difficult to consume, but the data can be made much more accessible by measuring how many times a certain flavor was selected.

Measures of Central Tendency

In descriptive analysis, it's also worth knowing the central (or average) event or response. Common measures of central tendency include the three averages — mean, median, and mode. As an example, consider a survey in which the height of 1,000 people is measured. In this case, the mean average would be a very helpful descriptive metric.

Measures of Dispersion

Sometimes, it may be worth knowing how data is distributed across a range. To illustrate this, consider the average height in a sample of two people. If both individuals are six feet tall, the average height is six feet. However, if one individual is five feet tall and the other is seven feet tall, the average height is still six feet. In order to measure this kind of distribution, measures of dispersion like range or standard deviation can be employed.

Measures of Position

Last of all, descriptive analysis can involve identifying the position of one event or response in relation to others. This is where measures like percentiles and quartiles can be used.

descriptive-analysis-charts

How to Do Descriptive Analysis

Like many types of data analysis, descriptive analysis can be quite open-ended. In other words, it's up to you what you want to look for in your analysis. With that said, the process of descriptive analysis usually consists of the same few steps.

  • Collect data

The first step in any type of data analysis is to collect the data. This can be done in a variety of ways, but surveys and good old fashioned measurements are often used.

Another important step in descriptive and other types of data analysis is to clean the data. This is because data may be formatted in inaccessible ways, which will make it difficult to manipulate with statistics. Cleaning data may involve changing its textual format, categorizing it, and/or removing outliers.

  • Apply methods

Finally, descriptive analysis involves applying the chosen statistical methods so as to draw the desired conclusions. What methods you choose will depend on the data you are dealing with and what you are looking to determine. If in doubt, review the four types of descriptive analysis methods explained above.

When to Do Descriptive Analysis

Descriptive analysis is often used when reviewing any past or present data. This is because raw data is difficult to consume and interpret, while the metrics offered by descriptive analysis are much more focused.

Descriptive analysis can also be conducted as the precursor to diagnostic or predictive analysis , providing insights into what has happened in the past before attempting to explain why it happened or predicting what will happen in the future.

Descriptive Analysis Example

As an example of descriptive analysis, consider an insurance company analyzing its customer base.

The insurance company may know certain traits about its customers, such as their gender, age, and nationality. To gain a better profile of their customers, the insurance company can apply descriptive analysis.

Measures of frequency can be used to identify how many customers are under a certain age; measures of central tendency can be used to identify who most of their customers are; measures of dispersion can be used to identify the variation in, for example, the age of their customers; finally, measures of position can be used to compare segments of customers based on specific traits.

Final Thoughts

Descriptive analysis is a popular type of data analysis. It's often conducted before diagnostic or predictive analysis, as it simply aims to describe and summarize past data.

To do so, descriptive analysis uses a variety of statistical techniques, including measures of frequency, central tendency, dispersion, and position. How exactly you conduct descriptive analysis will depend on what you are looking to find out, but the steps usually involve collecting, cleaning, and finally analyzing data.

In any case, this business analysis process is invaluable when working with data.

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55 Brilliant Research Topics For STEM Students

Research Topics For STEM Students

Primarily, STEM is an acronym for Science, Technology, Engineering, and Mathematics. It’s a study program that weaves all four disciplines for cross-disciplinary knowledge to solve scientific problems. STEM touches across a broad array of subjects as STEM students are required to gain mastery of four disciplines.

As a project-based discipline, STEM has different stages of learning. The program operates like other disciplines, and as such, STEM students embrace knowledge depending on their level. Since it’s a discipline centered around innovation, students undertake projects regularly. As a STEM student, your project could either be to build or write on a subject. Your first plan of action is choosing a topic if it’s written. After selecting a topic, you’ll need to determine how long a thesis statement should be .

Given that topic is essential to writing any project, this article focuses on research topics for STEM students. So, if you’re writing a STEM research paper or write my research paper , below are some of the best research topics for STEM students.

List of Research Topics For STEM Students

Quantitative research topics for stem students, qualitative research topics for stem students, what are the best experimental research topics for stem students, non-experimental research topics for stem students, capstone research topics for stem students, correlational research topics for stem students, scientific research topics for stem students, simple research topics for stem students, top 10 research topics for stem students, experimental research topics for stem students about plants, research topics for grade 11 stem students, research topics for grade 12 stem students, quantitative research topics for stem high school students, survey research topics for stem students, interesting and informative research topics for senior high school stem students.

Several research topics can be formulated in this field. They cut across STEM science, engineering, technology, and math. Here is a list of good research topics for STEM students.

  • The effectiveness of online learning over physical learning
  • The rise of metabolic diseases and their relationship to increased consumption
  • How immunotherapy can improve prognosis in Covid-19 progression

For your quantitative research in STEM, you’ll need to learn how to cite a thesis MLA for the topic you’re choosing. Below are some of the best quantitative research topics for STEM students.

  • A study of the effect of digital technology on millennials
  • A futuristic study of a world ruled by robotics
  • A critical evaluation of the future demand in artificial intelligence

There are several practical research topics for STEM students. However, if you’re looking for qualitative research topics for STEM students, here are topics to explore.

  • An exploration into how microbial factories result in the cause shortage in raw metals
  • An experimental study on the possibility of older-aged men passing genetic abnormalities to children
  • A critical evaluation of how genetics could be used to help humans live healthier and longer.
Experimental research in STEM is a scientific research methodology that uses two sets of variables. They are dependent and independent variables that are studied under experimental research. Experimental research topics in STEM look into areas of science that use data to derive results.

Below are easy experimental research topics for STEM students.

  • A study of nuclear fusion and fission
  • An evaluation of the major drawbacks of Biotechnology in the pharmaceutical industry
  • A study of single-cell organisms and how they’re capable of becoming an intermediary host for diseases causing bacteria

Unlike experimental research, non-experimental research lacks the interference of an independent variable. Non-experimental research instead measures variables as they naturally occur. Below are some non-experimental quantitative research topics for STEM students.

  • Impacts of alcohol addiction on the psychological life of humans
  • The popularity of depression and schizophrenia amongst the pediatric population
  • The impact of breastfeeding on the child’s health and development

STEM learning and knowledge grow in stages. The older students get, the more stringent requirements are for their STEM research topic. There are several capstone topics for research for STEM students .

Below are some simple quantitative research topics for stem students.

  • How population impacts energy-saving strategies
  • The application of an Excel table processor capabilities for cost calculation
  •  A study of the essence of science as a sphere of human activity

Correlations research is research where the researcher measures two continuous variables. This is done with little or no attempt to control extraneous variables but to assess the relationship. Here are some sample research topics for STEM students to look into bearing in mind how to cite a thesis APA style for your project.

  • Can pancreatic gland transplantation cure diabetes?
  • A study of improved living conditions and obesity
  • An evaluation of the digital currency as a valid form of payment and its impact on banking and economy

There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students.

  • A study of protease inhibitor and how it operates
  • A study of how men’s exercise impacts DNA traits passed to children
  • A study of the future of commercial space flight

If you’re looking for a simple research topic, below are easy research topics for STEM students.

  • How can the problem of Space junk be solved?
  • Can meteorites change our view of the universe?
  • Can private space flight companies change the future of space exploration?

For your top 10 research topics for STEM students, here are interesting topics for STEM students to consider.

  • A comparative study of social media addiction and adverse depression
  • The human effect of the illegal use of formalin in milk and food preservation
  • An evaluation of the human impact on the biosphere and its results
  • A study of how fungus affects plant growth
  • A comparative study of antiviral drugs and vaccine
  • A study of the ways technology has improved medicine and life science
  • The effectiveness of Vitamin D among older adults for disease prevention
  • What is the possibility of life on other planets?
  • Effects of Hubble Space Telescope on the universe
  • A study of important trends in medicinal chemistry research

Below are possible research topics for STEM students about plants:

  • How do magnetic fields impact plant growth?
  • Do the different colors of light impact the rate of photosynthesis?
  • How can fertilizer extend plant life during a drought?

Below are some examples of quantitative research topics for STEM students in grade 11.

  • A study of how plants conduct electricity
  • How does water salinity affect plant growth?
  • A study of soil pH levels on plants

Here are some of the best qualitative research topics for STEM students in grade 12.

  • An evaluation of artificial gravity and how it impacts seed germination
  • An exploration of the steps taken to develop the Covid-19 vaccine
  • Personalized medicine and the wave of the future

Here are topics to consider for your STEM-related research topics for high school students.

  • A study of stem cell treatment
  • How can molecular biological research of rare genetic disorders help understand cancer?
  • How Covid-19 affects people with digestive problems

Below are some survey topics for qualitative research for stem students.

  • How does Covid-19 impact immune-compromised people?
  • Soil temperature and how it affects root growth
  • Burned soil and how it affects seed germination

Here are some descriptive research topics for STEM students in senior high.

  • The scientific information concept and its role in conducting scientific research
  • The role of mathematical statistics in scientific research
  • A study of the natural resources contained in oceans

Final Words About Research Topics For STEM Students

STEM topics cover areas in various scientific fields, mathematics, engineering, and technology. While it can be tasking, reducing the task starts with choosing a favorable topic. If you require external assistance in writing your STEM research, you can seek professional help from our experts.

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500+ Quantitative Research Titles and Topics

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Quantitative Research Topics

Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology , economics , and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas to explore, from analyzing data on a specific population to studying the effects of a particular intervention or treatment. In this post, we will provide some ideas for quantitative research topics that may inspire you and help you narrow down your interests.

Quantitative Research Titles

Quantitative Research Titles are as follows:

Business and Economics

  • “Statistical Analysis of Supply Chain Disruptions on Retail Sales”
  • “Quantitative Examination of Consumer Loyalty Programs in the Fast Food Industry”
  • “Predicting Stock Market Trends Using Machine Learning Algorithms”
  • “Influence of Workplace Environment on Employee Productivity: A Quantitative Study”
  • “Impact of Economic Policies on Small Businesses: A Regression Analysis”
  • “Customer Satisfaction and Profit Margins: A Quantitative Correlation Study”
  • “Analyzing the Role of Marketing in Brand Recognition: A Statistical Overview”
  • “Quantitative Effects of Corporate Social Responsibility on Consumer Trust”
  • “Price Elasticity of Demand for Luxury Goods: A Case Study”
  • “The Relationship Between Fiscal Policy and Inflation Rates: A Time-Series Analysis”
  • “Factors Influencing E-commerce Conversion Rates: A Quantitative Exploration”
  • “Examining the Correlation Between Interest Rates and Consumer Spending”
  • “Standardized Testing and Academic Performance: A Quantitative Evaluation”
  • “Teaching Strategies and Student Learning Outcomes in Secondary Schools: A Quantitative Study”
  • “The Relationship Between Extracurricular Activities and Academic Success”
  • “Influence of Parental Involvement on Children’s Educational Achievements”
  • “Digital Literacy in Primary Schools: A Quantitative Assessment”
  • “Learning Outcomes in Blended vs. Traditional Classrooms: A Comparative Analysis”
  • “Correlation Between Teacher Experience and Student Success Rates”
  • “Analyzing the Impact of Classroom Technology on Reading Comprehension”
  • “Gender Differences in STEM Fields: A Quantitative Analysis of Enrollment Data”
  • “The Relationship Between Homework Load and Academic Burnout”
  • “Assessment of Special Education Programs in Public Schools”
  • “Role of Peer Tutoring in Improving Academic Performance: A Quantitative Study”

Medicine and Health Sciences

  • “The Impact of Sleep Duration on Cardiovascular Health: A Cross-sectional Study”
  • “Analyzing the Efficacy of Various Antidepressants: A Meta-Analysis”
  • “Patient Satisfaction in Telehealth Services: A Quantitative Assessment”
  • “Dietary Habits and Incidence of Heart Disease: A Quantitative Review”
  • “Correlations Between Stress Levels and Immune System Functioning”
  • “Smoking and Lung Function: A Quantitative Analysis”
  • “Influence of Physical Activity on Mental Health in Older Adults”
  • “Antibiotic Resistance Patterns in Community Hospitals: A Quantitative Study”
  • “The Efficacy of Vaccination Programs in Controlling Disease Spread: A Time-Series Analysis”
  • “Role of Social Determinants in Health Outcomes: A Quantitative Exploration”
  • “Impact of Hospital Design on Patient Recovery Rates”
  • “Quantitative Analysis of Dietary Choices and Obesity Rates in Children”

Social Sciences

  • “Examining Social Inequality through Wage Distribution: A Quantitative Study”
  • “Impact of Parental Divorce on Child Development: A Longitudinal Study”
  • “Social Media and its Effect on Political Polarization: A Quantitative Analysis”
  • “The Relationship Between Religion and Social Attitudes: A Statistical Overview”
  • “Influence of Socioeconomic Status on Educational Achievement”
  • “Quantifying the Effects of Community Programs on Crime Reduction”
  • “Public Opinion and Immigration Policies: A Quantitative Exploration”
  • “Analyzing the Gender Representation in Political Offices: A Quantitative Study”
  • “Impact of Mass Media on Public Opinion: A Regression Analysis”
  • “Influence of Urban Design on Social Interactions in Communities”
  • “The Role of Social Support in Mental Health Outcomes: A Quantitative Analysis”
  • “Examining the Relationship Between Substance Abuse and Employment Status”

Engineering and Technology

  • “Performance Evaluation of Different Machine Learning Algorithms in Autonomous Vehicles”
  • “Material Science: A Quantitative Analysis of Stress-Strain Properties in Various Alloys”
  • “Impacts of Data Center Cooling Solutions on Energy Consumption”
  • “Analyzing the Reliability of Renewable Energy Sources in Grid Management”
  • “Optimization of 5G Network Performance: A Quantitative Assessment”
  • “Quantifying the Effects of Aerodynamics on Fuel Efficiency in Commercial Airplanes”
  • “The Relationship Between Software Complexity and Bug Frequency”
  • “Machine Learning in Predictive Maintenance: A Quantitative Analysis”
  • “Wearable Technologies and their Impact on Healthcare Monitoring”
  • “Quantitative Assessment of Cybersecurity Measures in Financial Institutions”
  • “Analysis of Noise Pollution from Urban Transportation Systems”
  • “The Influence of Architectural Design on Energy Efficiency in Buildings”

Quantitative Research Topics

Quantitative Research Topics are as follows:

  • The effects of social media on self-esteem among teenagers.
  • A comparative study of academic achievement among students of single-sex and co-educational schools.
  • The impact of gender on leadership styles in the workplace.
  • The correlation between parental involvement and academic performance of students.
  • The effect of mindfulness meditation on stress levels in college students.
  • The relationship between employee motivation and job satisfaction.
  • The effectiveness of online learning compared to traditional classroom learning.
  • The correlation between sleep duration and academic performance among college students.
  • The impact of exercise on mental health among adults.
  • The relationship between social support and psychological well-being among cancer patients.
  • The effect of caffeine consumption on sleep quality.
  • A comparative study of the effectiveness of cognitive-behavioral therapy and pharmacotherapy in treating depression.
  • The relationship between physical attractiveness and job opportunities.
  • The correlation between smartphone addiction and academic performance among high school students.
  • The impact of music on memory recall among adults.
  • The effectiveness of parental control software in limiting children’s online activity.
  • The relationship between social media use and body image dissatisfaction among young adults.
  • The correlation between academic achievement and parental involvement among minority students.
  • The impact of early childhood education on academic performance in later years.
  • The effectiveness of employee training and development programs in improving organizational performance.
  • The relationship between socioeconomic status and access to healthcare services.
  • The correlation between social support and academic achievement among college students.
  • The impact of technology on communication skills among children.
  • The effectiveness of mindfulness-based stress reduction programs in reducing symptoms of anxiety and depression.
  • The relationship between employee turnover and organizational culture.
  • The correlation between job satisfaction and employee engagement.
  • The impact of video game violence on aggressive behavior among children.
  • The effectiveness of nutritional education in promoting healthy eating habits among adolescents.
  • The relationship between bullying and academic performance among middle school students.
  • The correlation between teacher expectations and student achievement.
  • The impact of gender stereotypes on career choices among high school students.
  • The effectiveness of anger management programs in reducing violent behavior.
  • The relationship between social support and recovery from substance abuse.
  • The correlation between parent-child communication and adolescent drug use.
  • The impact of technology on family relationships.
  • The effectiveness of smoking cessation programs in promoting long-term abstinence.
  • The relationship between personality traits and academic achievement.
  • The correlation between stress and job performance among healthcare professionals.
  • The impact of online privacy concerns on social media use.
  • The effectiveness of cognitive-behavioral therapy in treating anxiety disorders.
  • The relationship between teacher feedback and student motivation.
  • The correlation between physical activity and academic performance among elementary school students.
  • The impact of parental divorce on academic achievement among children.
  • The effectiveness of diversity training in improving workplace relationships.
  • The relationship between childhood trauma and adult mental health.
  • The correlation between parental involvement and substance abuse among adolescents.
  • The impact of social media use on romantic relationships among young adults.
  • The effectiveness of assertiveness training in improving communication skills.
  • The relationship between parental expectations and academic achievement among high school students.
  • The correlation between sleep quality and mood among adults.
  • The impact of video game addiction on academic performance among college students.
  • The effectiveness of group therapy in treating eating disorders.
  • The relationship between job stress and job performance among teachers.
  • The correlation between mindfulness and emotional regulation.
  • The impact of social media use on self-esteem among college students.
  • The effectiveness of parent-teacher communication in promoting academic achievement among elementary school students.
  • The impact of renewable energy policies on carbon emissions
  • The relationship between employee motivation and job performance
  • The effectiveness of psychotherapy in treating eating disorders
  • The correlation between physical activity and cognitive function in older adults
  • The effect of childhood poverty on adult health outcomes
  • The impact of urbanization on biodiversity conservation
  • The relationship between work-life balance and employee job satisfaction
  • The effectiveness of eye movement desensitization and reprocessing (EMDR) in treating trauma
  • The correlation between parenting styles and child behavior
  • The effect of social media on political polarization
  • The impact of foreign aid on economic development
  • The relationship between workplace diversity and organizational performance
  • The effectiveness of dialectical behavior therapy in treating borderline personality disorder
  • The correlation between childhood abuse and adult mental health outcomes
  • The effect of sleep deprivation on cognitive function
  • The impact of trade policies on international trade and economic growth
  • The relationship between employee engagement and organizational commitment
  • The effectiveness of cognitive therapy in treating postpartum depression
  • The correlation between family meals and child obesity rates
  • The effect of parental involvement in sports on child athletic performance
  • The impact of social entrepreneurship on sustainable development
  • The relationship between emotional labor and job burnout
  • The effectiveness of art therapy in treating dementia
  • The correlation between social media use and academic procrastination
  • The effect of poverty on childhood educational attainment
  • The impact of urban green spaces on mental health
  • The relationship between job insecurity and employee well-being
  • The effectiveness of virtual reality exposure therapy in treating anxiety disorders
  • The correlation between childhood trauma and substance abuse
  • The effect of screen time on children’s social skills
  • The impact of trade unions on employee job satisfaction
  • The relationship between cultural intelligence and cross-cultural communication
  • The effectiveness of acceptance and commitment therapy in treating chronic pain
  • The correlation between childhood obesity and adult health outcomes
  • The effect of gender diversity on corporate performance
  • The impact of environmental regulations on industry competitiveness.
  • The impact of renewable energy policies on greenhouse gas emissions
  • The relationship between workplace diversity and team performance
  • The effectiveness of group therapy in treating substance abuse
  • The correlation between parental involvement and social skills in early childhood
  • The effect of technology use on sleep patterns
  • The impact of government regulations on small business growth
  • The relationship between job satisfaction and employee turnover
  • The effectiveness of virtual reality therapy in treating anxiety disorders
  • The correlation between parental involvement and academic motivation in adolescents
  • The effect of social media on political engagement
  • The impact of urbanization on mental health
  • The relationship between corporate social responsibility and consumer trust
  • The correlation between early childhood education and social-emotional development
  • The effect of screen time on cognitive development in young children
  • The impact of trade policies on global economic growth
  • The relationship between workplace diversity and innovation
  • The effectiveness of family therapy in treating eating disorders
  • The correlation between parental involvement and college persistence
  • The effect of social media on body image and self-esteem
  • The impact of environmental regulations on business competitiveness
  • The relationship between job autonomy and job satisfaction
  • The effectiveness of virtual reality therapy in treating phobias
  • The correlation between parental involvement and academic achievement in college
  • The effect of social media on sleep quality
  • The impact of immigration policies on social integration
  • The relationship between workplace diversity and employee well-being
  • The effectiveness of psychodynamic therapy in treating personality disorders
  • The correlation between early childhood education and executive function skills
  • The effect of parental involvement on STEM education outcomes
  • The impact of trade policies on domestic employment rates
  • The relationship between job insecurity and mental health
  • The effectiveness of exposure therapy in treating PTSD
  • The correlation between parental involvement and social mobility
  • The effect of social media on intergroup relations
  • The impact of urbanization on air pollution and respiratory health.
  • The relationship between emotional intelligence and leadership effectiveness
  • The effectiveness of cognitive-behavioral therapy in treating depression
  • The correlation between early childhood education and language development
  • The effect of parental involvement on academic achievement in STEM fields
  • The impact of trade policies on income inequality
  • The relationship between workplace diversity and customer satisfaction
  • The effectiveness of mindfulness-based therapy in treating anxiety disorders
  • The correlation between parental involvement and civic engagement in adolescents
  • The effect of social media on mental health among teenagers
  • The impact of public transportation policies on traffic congestion
  • The relationship between job stress and job performance
  • The effectiveness of group therapy in treating depression
  • The correlation between early childhood education and cognitive development
  • The effect of parental involvement on academic motivation in college
  • The impact of environmental regulations on energy consumption
  • The relationship between workplace diversity and employee engagement
  • The effectiveness of art therapy in treating PTSD
  • The correlation between parental involvement and academic success in vocational education
  • The effect of social media on academic achievement in college
  • The impact of tax policies on economic growth
  • The relationship between job flexibility and work-life balance
  • The effectiveness of acceptance and commitment therapy in treating anxiety disorders
  • The correlation between early childhood education and social competence
  • The effect of parental involvement on career readiness in high school
  • The impact of immigration policies on crime rates
  • The relationship between workplace diversity and employee retention
  • The effectiveness of play therapy in treating trauma
  • The correlation between parental involvement and academic success in online learning
  • The effect of social media on body dissatisfaction among women
  • The impact of urbanization on public health infrastructure
  • The relationship between job satisfaction and job performance
  • The effectiveness of eye movement desensitization and reprocessing therapy in treating PTSD
  • The correlation between early childhood education and social skills in adolescence
  • The effect of parental involvement on academic achievement in the arts
  • The impact of trade policies on foreign investment
  • The relationship between workplace diversity and decision-making
  • The effectiveness of exposure and response prevention therapy in treating OCD
  • The correlation between parental involvement and academic success in special education
  • The impact of zoning laws on affordable housing
  • The relationship between job design and employee motivation
  • The effectiveness of cognitive rehabilitation therapy in treating traumatic brain injury
  • The correlation between early childhood education and social-emotional learning
  • The effect of parental involvement on academic achievement in foreign language learning
  • The impact of trade policies on the environment
  • The relationship between workplace diversity and creativity
  • The effectiveness of emotion-focused therapy in treating relationship problems
  • The correlation between parental involvement and academic success in music education
  • The effect of social media on interpersonal communication skills
  • The impact of public health campaigns on health behaviors
  • The relationship between job resources and job stress
  • The effectiveness of equine therapy in treating substance abuse
  • The correlation between early childhood education and self-regulation
  • The effect of parental involvement on academic achievement in physical education
  • The impact of immigration policies on cultural assimilation
  • The relationship between workplace diversity and conflict resolution
  • The effectiveness of schema therapy in treating personality disorders
  • The correlation between parental involvement and academic success in career and technical education
  • The effect of social media on trust in government institutions
  • The impact of urbanization on public transportation systems
  • The relationship between job demands and job stress
  • The correlation between early childhood education and executive functioning
  • The effect of parental involvement on academic achievement in computer science
  • The effectiveness of cognitive processing therapy in treating PTSD
  • The correlation between parental involvement and academic success in homeschooling
  • The effect of social media on cyberbullying behavior
  • The impact of urbanization on air quality
  • The effectiveness of dance therapy in treating anxiety disorders
  • The correlation between early childhood education and math achievement
  • The effect of parental involvement on academic achievement in health education
  • The impact of global warming on agriculture
  • The effectiveness of narrative therapy in treating depression
  • The correlation between parental involvement and academic success in character education
  • The effect of social media on political participation
  • The impact of technology on job displacement
  • The relationship between job resources and job satisfaction
  • The effectiveness of art therapy in treating addiction
  • The correlation between early childhood education and reading comprehension
  • The effect of parental involvement on academic achievement in environmental education
  • The impact of income inequality on social mobility
  • The relationship between workplace diversity and organizational culture
  • The effectiveness of solution-focused brief therapy in treating anxiety disorders
  • The correlation between parental involvement and academic success in physical therapy education
  • The effect of social media on misinformation
  • The impact of green energy policies on economic growth
  • The relationship between job demands and employee well-being
  • The correlation between early childhood education and science achievement
  • The effect of parental involvement on academic achievement in religious education
  • The impact of gender diversity on corporate governance
  • The relationship between workplace diversity and ethical decision-making
  • The correlation between parental involvement and academic success in dental hygiene education
  • The effect of social media on self-esteem among adolescents
  • The impact of renewable energy policies on energy security
  • The effect of parental involvement on academic achievement in social studies
  • The impact of trade policies on job growth
  • The relationship between workplace diversity and leadership styles
  • The correlation between parental involvement and academic success in online vocational training
  • The effect of social media on self-esteem among men
  • The impact of urbanization on air pollution levels
  • The effectiveness of music therapy in treating depression
  • The correlation between early childhood education and math skills
  • The effect of parental involvement on academic achievement in language arts
  • The impact of immigration policies on labor market outcomes
  • The effectiveness of hypnotherapy in treating phobias
  • The effect of social media on political engagement among young adults
  • The impact of urbanization on access to green spaces
  • The relationship between job crafting and job satisfaction
  • The effectiveness of exposure therapy in treating specific phobias
  • The correlation between early childhood education and spatial reasoning
  • The effect of parental involvement on academic achievement in business education
  • The impact of trade policies on economic inequality
  • The effectiveness of narrative therapy in treating PTSD
  • The correlation between parental involvement and academic success in nursing education
  • The effect of social media on sleep quality among adolescents
  • The impact of urbanization on crime rates
  • The relationship between job insecurity and turnover intentions
  • The effectiveness of pet therapy in treating anxiety disorders
  • The correlation between early childhood education and STEM skills
  • The effect of parental involvement on academic achievement in culinary education
  • The impact of immigration policies on housing affordability
  • The relationship between workplace diversity and employee satisfaction
  • The effectiveness of mindfulness-based stress reduction in treating chronic pain
  • The correlation between parental involvement and academic success in art education
  • The effect of social media on academic procrastination among college students
  • The impact of urbanization on public safety services.

About the author

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Muhammad Hassan

Researcher, Academic Writer, Web developer

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200+ Experimental Quantitative Research Topics For STEM Students In 2023

Experimental Quantitative Research Topics For Stem Students

STEM stands for Science, Technology, Engineering, and Math, but these are not the only subjects we learn in school. STEM is like a treasure chest of skills that help students become great problem solvers, ready to tackle the real world’s challenges.

In this blog, we are here to explore the world of Research Topics for STEM Students. We will break down what STEM really means and why it is so important for students. In addition, we will give you the lowdown on how to pick a fascinating research topic. We will explain a list of 200+ Experimental Quantitative Research Topics For STEM Students.

And when it comes to writing a research title, we will guide you step by step. So, stay with us as we unlock the exciting world of STEM research – it is not just about grades; it is about growing smarter, more confident, and happier along the way.

What Is STEM?

Table of Contents

STEM is Science, Technology, Engineering, and Mathematics. It is a way of talking about things like learning, jobs, and activities related to these four important subjects. Science is about understanding the world around us, technology is about using tools and machines to solve problems, engineering is about designing and building things, and mathematics is about numbers and solving problems with them. STEM helps us explore, discover, and create cool stuff that makes our world better and more exciting.

Why STEM Research Is Important?

STEM research is important because it helps us learn new things about the world and solve problems. When scientists, engineers, and mathematicians study these subjects, they can discover cures for diseases, create new technology that makes life easier, and build things that help us live better. It is like a big puzzle where we put together pieces of knowledge to make our world safer, healthier, and more fun.

  • STEM research leads to new discoveries and solutions.
  • It helps find cures for diseases.
  • STEM technology makes life easier.
  • Engineers build things that improve our lives.
  • Mathematics helps us understand and solve complex problems.

How to Choose a Topic for STEM Research Paper

Here are some steps to choose a topic for STEM Research Paper:

Step 1: Identify Your Interests

Think about what you like and what excites you in science, technology, engineering, or math. It could be something you learned in school, saw in the news, or experienced in your daily life. Choosing a topic you’re passionate about makes the research process more enjoyable.

Step 2: Research Existing Topics

Look up different STEM research areas online, in books, or at your library. See what scientists and experts are studying. This can give you ideas and help you understand what’s already known in your chosen field.

Step 3: Consider Real-World Problems

Think about the problems you see around you. Are there issues in your community or the world that STEM can help solve? Choosing a topic that addresses a real-world problem can make your research impactful.

Step 4: Talk to Teachers and Mentors

Discuss your interests with your teachers, professors, or mentors. They can offer guidance and suggest topics that align with your skills and goals. They may also provide resources and support for your research.

Step 5: Narrow Down Your Topic

Once you have some ideas, narrow them down to a specific research question or project. Make sure it’s not too broad or too narrow. You want a topic that you can explore in depth within the scope of your research paper.

Here we will discuss 200+ Experimental Quantitative Research Topics For STEM Students: 

Qualitative Research Topics for STEM Students:

Qualitative research focuses on exploring and understanding phenomena through non-numerical data and subjective experiences. Here are 10 qualitative research topics for STEM students:

  • Exploring the experiences of female STEM students in overcoming gender bias in academia.
  • Understanding the perceptions of teachers regarding the integration of technology in STEM education.
  • Investigating the motivations and challenges of STEM educators in underprivileged schools.
  • Exploring the attitudes and beliefs of parents towards STEM education for their children.
  • Analyzing the impact of collaborative learning on student engagement in STEM subjects.
  • Investigating the experiences of STEM professionals in bridging the gap between academia and industry.
  • Understanding the cultural factors influencing STEM career choices among minority students.
  • Exploring the role of mentorship in the career development of STEM graduates.
  • Analyzing the perceptions of students towards the ethics of emerging STEM technologies like AI and CRISPR.
  • Investigating the emotional well-being and stress levels of STEM students during their academic journey.

Easy Experimental Research Topics for STEM Students:

These experimental research topics are relatively straightforward and suitable for STEM students who are new to research:

  •  Measuring the effect of different light wavelengths on plant growth.
  •  Investigating the relationship between exercise and heart rate in various age groups.
  •  Testing the effectiveness of different insulating materials in conserving heat.
  •  Examining the impact of pH levels on the rate of chemical reactions.
  •  Studying the behavior of magnets in different temperature conditions.
  •  Investigating the effect of different concentrations of a substance on bacterial growth.
  •  Testing the efficiency of various sunscreen brands in blocking UV radiation.
  •  Measuring the impact of music genres on concentration and productivity.
  •  Examining the correlation between the angle of a ramp and the speed of a rolling object.
  •  Investigating the relationship between the number of blades on a wind turbine and energy output.

Research Topics for STEM Students in the Philippines:

These research topics are tailored for STEM students in the Philippines:

  •  Assessing the impact of climate change on the biodiversity of coral reefs in the Philippines.
  •  Studying the potential of indigenous plants in the Philippines for medicinal purposes.
  •  Investigating the feasibility of harnessing renewable energy sources like solar and wind in rural Filipino communities.
  •  Analyzing the water quality and pollution levels in major rivers and lakes in the Philippines.
  •  Exploring sustainable agricultural practices for small-scale farmers in the Philippines.
  •  Assessing the prevalence and impact of dengue fever outbreaks in urban areas of the Philippines.
  •  Investigating the challenges and opportunities of STEM education in remote Filipino islands.
  •  Studying the impact of typhoons and natural disasters on infrastructure resilience in the Philippines.
  •  Analyzing the genetic diversity of endemic species in the Philippine rainforests.
  •  Assessing the effectiveness of disaster preparedness programs in Philippine communities.

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Good Research Topics for STEM Students:

These research topics are considered good because they offer interesting avenues for investigation and learning:

  •  Developing a low-cost and efficient water purification system for rural communities.
  •  Investigating the potential use of CRISPR-Cas9 for gene therapy in genetic disorders.
  •  Studying the applications of blockchain technology in securing medical records.
  •  Analyzing the impact of 3D printing on customized prosthetics for amputees.
  •  Exploring the use of artificial intelligence in predicting and preventing forest fires.
  •  Investigating the effects of microplastic pollution on aquatic ecosystems.
  •  Analyzing the use of drones in monitoring and managing agricultural crops.
  •  Studying the potential of quantum computing in solving complex optimization problems.
  •  Investigating the development of biodegradable materials for sustainable packaging.
  •  Exploring the ethical implications of gene editing in humans.

Unique Research Topics for STEM Students:

Unique research topics can provide STEM students with the opportunity to explore unconventional and innovative ideas. Here are 10 unique research topics for STEM students:

  •  Investigating the use of bioluminescent organisms for sustainable lighting solutions.
  •  Studying the potential of using spider silk proteins for advanced materials in engineering.
  •  Exploring the application of quantum entanglement for secure communication in the field of cryptography.
  •  Analyzing the feasibility of harnessing geothermal energy from underwater volcanoes.
  •  Investigating the use of CRISPR-Cas12 for rapid and cost-effective disease diagnostics.
  •  Studying the interaction between artificial intelligence and human creativity in art and music generation.
  •  Exploring the development of edible packaging materials to reduce plastic waste.
  •  Investigating the impact of microgravity on cellular behavior and tissue regeneration in space.
  •  Analyzing the potential of using sound waves to detect and combat invasive species in aquatic ecosystems.
  •  Studying the use of biotechnology in reviving extinct species, such as the woolly mammoth.

Experimental Research Topics for STEM Students in the Philippines

Research topics for STEM students in the Philippines can address specific regional challenges and opportunities. Here are 10 experimental research topics for STEM students in the Philippines:

  • Assessing the effectiveness of locally sourced materials for disaster-resilient housing construction in typhoon-prone areas.
  • Investigating the utilization of indigenous plants for natural remedies in Filipino traditional medicine.
  • Studying the impact of volcanic soil on crop growth and agriculture in volcanic regions of the Philippines.
  • Analyzing the water quality and purification methods in remote island communities.
  • Exploring the feasibility of using bamboo as a sustainable construction material in the Philippines.
  • Investigating the potential of using solar stills for freshwater production in water-scarce regions.
  • Studying the effects of climate change on the migration patterns of bird species in the Philippines.
  • Analyzing the growth and sustainability of coral reefs in marine protected areas.
  • Investigating the utilization of coconut waste for biofuel production.
  • Studying the biodiversity and conservation efforts in the Tubbataha Reefs Natural Park.

Capstone Research Topics for STEM Students in the Philippines:

Capstone research projects are often more comprehensive and can address real-world issues. Here are 10 capstone research topics for STEM students in the Philippines:

  • Designing a low-cost and sustainable sanitation system for informal settlements in urban Manila.
  • Developing a mobile app for monitoring and reporting natural disasters in the Philippines.
  • Assessing the impact of climate change on the availability and quality of drinking water in Philippine cities.
  • Designing an efficient traffic management system to address congestion in major Filipino cities.
  • Analyzing the health implications of air pollution in densely populated urban areas of the Philippines.
  • Developing a renewable energy microgrid for off-grid communities in the archipelago.
  • Assessing the feasibility of using unmanned aerial vehicles (drones) for agricultural monitoring in rural Philippines.
  • Designing a low-cost and sustainable aquaponics system for urban agriculture.
  • Investigating the potential of vertical farming to address food security in densely populated urban areas.
  • Developing a disaster-resilient housing prototype suitable for typhoon-prone regions.

Experimental Quantitative Research Topics for STEM Students:

Experimental quantitative research involves the collection and analysis of numerical data to conclude. Here are 10 Experimental Quantitative Research Topics For STEM Students interested in experimental quantitative research:

  • Examining the impact of different fertilizers on crop yield in agriculture.
  • Investigating the relationship between exercise and heart rate among different age groups.
  • Analyzing the effect of varying light intensities on photosynthesis in plants.
  • Studying the efficiency of various insulation materials in reducing building heat loss.
  • Investigating the relationship between pH levels and the rate of corrosion in metals.
  • Analyzing the impact of different concentrations of pollutants on aquatic ecosystems.
  • Examining the effectiveness of different antibiotics on bacterial growth.
  • Trying to figure out how temperature affects how thick liquids are.
  • Finding out if there is a link between the amount of pollution in the air and lung illnesses in cities.
  • Analyzing the efficiency of solar panels in converting sunlight into electricity under varying conditions.

Descriptive Research Topics for STEM Students

Descriptive research aims to provide a detailed account or description of a phenomenon. Here are 10 topics for STEM students interested in descriptive research:

  • Describing the physical characteristics and behavior of a newly discovered species of marine life.
  • Documenting the geological features and formations of a particular region.
  • Creating a detailed inventory of plant species in a specific ecosystem.
  • Describing the properties and behavior of a new synthetic polymer.
  • Documenting the daily weather patterns and climate trends in a particular area.
  • Providing a comprehensive analysis of the energy consumption patterns in a city.
  • Describing the structural components and functions of a newly developed medical device.
  • Documenting the characteristics and usage of traditional construction materials in a region.
  • Providing a detailed account of the microbiome in a specific environmental niche.
  • Describing the life cycle and behavior of a rare insect species.

Research Topics for STEM Students in the Pandemic:

The COVID-19 pandemic has raised many research opportunities for STEM students. Here are 10 research topics related to pandemics:

  • Analyzing the effectiveness of various personal protective equipment (PPE) in preventing the spread of respiratory viruses.
  • Studying the impact of lockdown measures on air quality and pollution levels in urban areas.
  • Investigating the psychological effects of quarantine and social isolation on mental health.
  • Analyzing the genomic variation of the SARS-CoV-2 virus and its implications for vaccine development.
  • Studying the efficacy of different disinfection methods on various surfaces.
  • Investigating the role of contact tracing apps in tracking & controlling the spread of infectious diseases.
  • Analyzing the economic impact of the pandemic on different industries and sectors.
  • Studying the effectiveness of remote learning in STEM education during lockdowns.
  • Investigating the social disparities in healthcare access during a pandemic.
  • Analyzing the ethical considerations surrounding vaccine distribution and prioritization.

Research Topics for STEM Students Middle School

Research topics for middle school STEM students should be engaging and suitable for their age group. Here are 10 research topics:

  • Investigating the growth patterns of different types of mold on various food items.
  • Studying the negative effects of music on plant growth and development.
  • Analyzing the relationship between the shape of a paper airplane and its flight distance.
  • Investigating the properties of different materials in making effective insulators for hot and cold beverages.
  • Studying the effect of salt on the buoyancy of different objects in water.
  • Analyzing the behavior of magnets when exposed to different temperatures.
  • Investigating the factors that affect the rate of ice melting in different environments.
  • Studying the impact of color on the absorption of heat by various surfaces.
  • Analyzing the growth of crystals in different types of solutions.
  • Investigating the effectiveness of different natural repellents against common pests like mosquitoes.

Technology Research Topics for STEM Students

Technology is at the forefront of STEM fields. Here are 10 research topics for STEM students interested in technology:

  • Developing and optimizing algorithms for autonomous drone navigation in complex environments.
  • Exploring the use of blockchain technology for enhancing the security and transparency of supply chains.
  • Investigating the applications of virtual reality (VR) and augmented reality (AR) in medical training and surgery simulations.
  • Studying the potential of 3D printing for creating personalized prosthetics and orthopedic implants.
  • Analyzing the ethical and privacy implications of facial recognition technology in public spaces.
  • Investigating the development of quantum computing algorithms for solving complex optimization problems.
  • Explaining the use of machine learning and AI in predicting and mitigating the impact of natural disasters.
  • Studying the advancement of brain-computer interfaces for assisting individuals with
  • disabilities.
  • Analyzing the role of wearable technology in monitoring and improving personal health and wellness.
  • Investigating the use of robotics in disaster response and search and rescue operations.

Scientific Research Topics for STEM Students

Scientific research encompasses a wide range of topics. Here are 10 research topics for STEM students focusing on scientific exploration:

  • Investigating the behavior of subatomic particles in high-energy particle accelerators.
  • Studying the ecological impact of invasive species on native ecosystems.
  • Analyzing the genetics of antibiotic resistance in bacteria and its implications for healthcare.
  • Exploring the physics of gravitational waves and their detection through advanced interferometry.
  • Investigating the neurobiology of memory formation and retention in the human brain.
  • Studying the biodiversity and adaptation of extremophiles in harsh environments.
  • Analyzing the chemistry of deep-sea hydrothermal vents and their potential for life beyond Earth.
  • Exploring the properties of superconductors and their applications in technology.
  • Investigating the mechanisms of stem cell differentiation for regenerative medicine.
  • Studying the dynamics of climate change and its impact on global ecosystems.

Interesting Research Topics for STEM Students:

Engaging and intriguing research topics can foster a passion for STEM. Here are 10 interesting research topics for STEM students:

  • Exploring the science behind the formation of auroras and their cultural significance.
  • Investigating the mysteries of dark matter and dark energy in the universe.
  • Studying the psychology of decision-making in high-pressure situations, such as sports or
  • emergencies.
  • Analyzing the impact of social media on interpersonal relationships and mental health.
  • Exploring the potential for using genetic modification to create disease-resistant crops.
  • Investigating the cognitive processes involved in solving complex puzzles and riddles.
  • Studying the history and evolution of cryptography and encryption methods.
  • Analyzing the physics of time travel and its theoretical possibilities.
  • Exploring the role of Artificial Intelligence in creating art and music.
  • Investigating the science of happiness and well-being, including factors contributing to life satisfaction.

Practical Research Topics for STEM Students

Practical research often leads to real-world solutions. Here are 10 practical research topics for STEM students:

  • Developing an affordable and sustainable water purification system for rural communities.
  • Designing a low-cost, energy-efficient home heating and cooling system.
  • Investigating strategies for reducing food waste in the supply chain and households.
  • Studying the effectiveness of eco-friendly pest control methods in agriculture.
  • Analyzing the impact of renewable energy integration on the stability of power grids.
  • Developing a smartphone app for early detection of common medical conditions.
  • Investigating the feasibility of vertical farming for urban food production.
  • Designing a system for recycling and upcycling electronic waste.
  • Studying the environmental benefits of green roofs and their potential for urban heat island mitigation.
  • Analyzing the efficiency of alternative transportation methods in reducing carbon emissions.

Experimental Research Topics for STEM Students About Plants

Plants offer a rich field for experimental research. Here are 10 experimental research topics about plants for STEM students:

  • Investigating the effect of different light wavelengths on plant growth and photosynthesis.
  • Studying the impact of various fertilizers and nutrient solutions on crop yield.
  • Analyzing the response of plants to different types and concentrations of plant hormones.
  • Investigating the role of mycorrhizal in enhancing nutrient uptake in plants.
  • Studying the effects of drought stress and water scarcity on plant physiology and adaptation mechanisms.
  • Analyzing the influence of soil pH on plant nutrient availability and growth.
  • Investigating the chemical signaling and defense mechanisms of plants against herbivores.
  • Studying the impact of environmental pollutants on plant health and genetic diversity.
  • Analyzing the role of plant secondary metabolites in pharmaceutical and agricultural applications.
  • Investigating the interactions between plants and beneficial microorganisms in the rhizosphere.

Qualitative Research Topics for STEM Students in the Philippines

Qualitative research in the Philippines can address local issues and cultural contexts. Here are 10 qualitative research topics for STEM students in the Philippines:

  • Exploring indigenous knowledge and practices in sustainable agriculture in Filipino communities.
  • Studying the perceptions and experiences of Filipino fishermen in coping with climate change impacts.
  • Analyzing the cultural significance and traditional uses of medicinal plants in indigenous Filipino communities.
  • Investigating the barriers and facilitators of STEM education access in remote Philippine islands.
  • Exploring the role of traditional Filipino architecture in natural disaster resilience.
  • Studying the impact of indigenous farming methods on soil conservation and fertility.
  • Analyzing the cultural and environmental significance of mangroves in coastal Filipino regions.
  • Investigating the knowledge and practices of Filipino healers in treating common ailments.
  • Exploring the cultural heritage and conservation efforts of the Ifugao rice terraces.
  • Studying the perceptions and practices of Filipino communities in preserving marine biodiversity.

Science Research Topics for STEM Students

Science offers a diverse range of research avenues. Here are 10 science research topics for STEM students:

  • Investigating the potential of gene editing techniques like CRISPR-Cas9 in curing genetic diseases.
  • Studying the ecological impacts of species reintroduction programs on local ecosystems.
  • Analyzing the effects of microplastic pollution on aquatic food webs and ecosystems.
  • Investigating the link between air pollution and respiratory health in urban populations.
  • Studying the role of epigenetics in the inheritance of acquired traits in organisms.
  • Analyzing the physiology and adaptations of extremophiles in extreme environments on Earth.
  • Investigating the genetics of longevity and factors influencing human lifespan.
  • Studying the behavioral ecology and communication strategies of social insects.
  • Analyzing the effects of deforestation on global climate patterns and biodiversity loss.
  • Investigating the potential of synthetic biology in creating bioengineered organisms for beneficial applications.

Correlational Research Topics for STEM Students

Correlational research focuses on relationships between variables. Here are 10 correlational research topics for STEM students:

  • Analyzing the correlation between dietary habits and the incidence of chronic diseases.
  • Studying the relationship between exercise frequency and mental health outcomes.
  • Investigating the correlation between socioeconomic status and access to quality healthcare.
  • Analyzing the link between social media usage and self-esteem in adolescents.
  • Studying the correlation between academic performance and sleep duration among students.
  • Investigating the relationship between environmental factors and the prevalence of allergies.
  • Analyzing the correlation between technology use and attention span in children.
  • Studying how environmental factors are related to the frequency of allergies.
  • Investigating the link between parental involvement in education and student achievement.
  • Analyzing the correlation between temperature fluctuations and wildlife migration patterns.

Quantitative Research Topics for STEM Students in the Philippines

Quantitative research in the Philippines can address specific regional issues. Here are 10 quantitative research topics for STEM students in the Philippines

  • Analyzing the impact of typhoons on coastal erosion rates in the Philippines.
  • Studying the quantitative effects of land use change on watershed hydrology in Filipino regions.
  • Investigating the quantitative relationship between deforestation and habitat loss for endangered species.
  • Analyzing the quantitative patterns of marine biodiversity in Philippine coral reef ecosystems.
  • Studying the quantitative assessment of water quality in major Philippine rivers and lakes.
  • Investigating the quantitative analysis of renewable energy potential in specific Philippine provinces.
  • Analyzing the quantitative impacts of agricultural practices on soil health and fertility.
  • Studying the quantitative effectiveness of mangrove restoration in coastal protection in the Philippines.
  • Investigating the quantitative evaluation of indigenous agricultural practices for sustainability.
  • Analyzing the quantitative patterns of air pollution and its health impacts in urban Filipino areas.

Things That Must Keep In Mind While Writing Quantitative Research Title 

Here are a few things that must be kept in mind while writing a quantitative research:

1. Be Clear and Precise

Make sure your research title is clear and says exactly what your study is about. People should easily understand the topic and goals of your research by reading the title.

2. Use Important Words

Include words that are crucial to your research, like the main subjects, who you’re studying, and how you’re doing your research. This helps others find your work and understand what it’s about.

3. Avoid Confusing Words

Stay away from words that might confuse people. Your title should be easy to grasp, even if someone isn’t an expert in your field.

4. Show Your Research Approach

Tell readers what kind of research you did, like experiments or surveys. This gives them a hint about how you conducted your study.

5. Match Your Title with Your Research Questions

Make sure your title matches the questions you’re trying to answer in your research. It should give a sneak peek into what your study is all about and keep you on the right track as you work on it.

STEM students, addressing what STEM is and why research matters in this field. It offered an extensive list of research topics , including experimental, qualitative, and regional options, catering to various academic levels and interests. Whether you’re a middle school student or pursuing advanced studies, these topics offer a wealth of ideas. The key takeaway is to choose a topic that resonates with your passion and aligns with your goals, ensuring a successful journey in STEM research. Choose the best Experimental Quantitative Research Topics For Stem Students today!

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TheHighSchooler

100 Qualitative Research Titles For High School Students

Are you brainstorming for excellent qualitative research titles for your high school curriculum? If yes, then this blog is for you! Academic life throws a lot of thesis and qualitative research papers and essays at you. Although thesis and essays may not be much of a hassle. However, when it comes to your research paper title, you must ensure that it is qualitative, and not quantitative. 

Qualitative research is primarily focused on obtaining data through case studies, artifacts, interviews, documentaries, and other first-hand observations. It focuses more on these natural settings rather than statistics and numbers. If you are finding it difficult to find a topic, then worry not because the high schooler has this blog post curated for you with 100 qualitative research titles that can help you get started!

Qualitative research prompts for high schoolers

Qualitative research papers are written by gathering and analyzing non-numerical data. Generally, teachers allot a list of topics that you can choose from. However, if you aren’t given the list, you need to search for a topic for yourself.

Qualitative research topics mostly deal with the happenings in society and nature. There are endless topics that you can choose from. We have curated a list of 100 qualitative research titles for you to choose from. Read on and pick the one that best aligns with your interests!

  • Why is there a pressing need for wildlife conservation?
  • Discuss the impacts of climate change on future generations. 
  • Discuss the impact of overpopulation on sustainable resources.
  • Discuss the factors considered while establishing the first 10 engineering universities in the world.
  • What is the contribution of AI to emotional intelligence? Explain. 
  • List out the effective methods to reduce the occurrences of fraud through cybercrimes.
  • With case studies, discuss some of the greatest movements in history leading to independence. 
  • Discuss real-life scenarios of gender-based discrimination. 
  • Discuss disparities in income and opportunities in developing nations. 
  • How to deal with those dealing with ADHD?
  • Describe how life was before the invention of the air conditioner. 
  • Explain the increasing applications of clinical psychology. 
  • What is psychology? Explain the career opportunities it brings forth for youngsters.
  • Covid lockdown: Is homeschooling the new way to school children?
  • What is the role of army dogs? How are they trained for the role?
  • What is feminism to you? Mention a feminist and his/her contributions to making the world a better place for women.  
  • What is true leadership quality according to you? Explain with a case study of a famous personality you admire for their leadership skills. 
  • Is wearing a mask effective in preventing covid-19? Explain the other practices that can help one prevent covid-19. 
  • Explain how teachers play an important role in helping students with disabilities improve their learning.
  • Is ‘E business’ taking over traditional methods of carrying out business?
  • What are the implications of allowing high schoolers to use smartphones in classes?
  • Does stress have an effect on human behavior?
  • Explain the link between poverty and education. 
  • With case studies, explain the political instability in developing nations.
  • Are ‘reality television shows’ scripted or do they showcase reality?
  • Online vs Offline teaching: which method is more effective and how?
  • Does there exist an underlying correlation between education and success? Explain with case studies.
  • Explain the social stigma associated with menstruation. 
  • Are OTT entertainment platforms like Netflix and Amazon Prime beneficial in any other way?
  • Does being physically active help reverse type 2 diabetes?
  • Does pop culture influence today’s youth and their behavior?
  • ‘A friend in need is a friend in deed.’ Explain with case studies of famous personalities. 
  • Do books have greater importance in the lives of children from weaker economic backgrounds? Explain in detail.
  • Give an overview of the rise of spoken arts. 
  • Explain the problem of food insecurity in developing nations.
  • How related are Windows and Apple products?
  • Explore the methods used in schools to promote cultural diversity. 
  • Has social media replaced the physical social engagement of children in society?
  • Give an overview of allopathic medicine in treating mental disorders. 
  • Explain if and how willpower plays a role in overcoming difficulties in life. 
  • Are third-world countries seeing a decline in academic pursuit? Explain with real-life scenarios. 
  • Can animals predict earthquakes in advance? Explain which animals have this ability and how they do it. 
  • Discuss if the education system in America needs to improve. If yes, list out how this can be achieved.
  • Discuss democracy as a government of the people, by the people, and for the people.’
  • Discuss the increasing rate of attention deficit disorder among children.
  • Explain fun games that can help boost the morale of kids with dyslexia. 
  • Explain the causes of youth unemployment.
  • Explain some of the ways you think might help in making differently-abled students feel inclusive in the mainstream.
  • Explain in detail the challenges faced by students with special needs to feel included when it comes to accessibility to education.
  • Discuss the inefficiency of the healthcare system brought about by the covid-19 pandemic. 
  • Does living in hostels instill better life skills among students than those who are brought up at home? Explain in detail. 
  • What is Advanced Traffic Management? Explain the success cases of countries that have deployed it.  
  • Elaborate on the ethnic and socioeconomic reasons leading to poor school attendance in third-world nations.
  • Do preschoolers benefit from being read to by their parents? Discuss in detail.
  • What is the significance of oral learning in classrooms?
  • Does computer literacy promise a brighter future? Analyze. 
  • What people skills are enhanced in a high school classroom?
  • Discuss in detail the education system in place of a developing nation. Highlight the measures you think are impressive and those that you think need a change. 
  • Apart from the drawbacks of UV rays on the human body, explain how it has proven to be beneficial in treating diseases.  
  • Discuss why or why not wearing school uniforms can make students feel included in the school environment. 
  • What are the effective ways that have been proven to mitigate child labor in society? 
  • Explain the contributions of arts and literature to the evolving world. 
  • How do healthcare organizations cope with patients living with transmissive medical conditions?
  • Why do people with special abilities still face hardships when it comes to accessibility to healthcare and education?
  • What are the prevailing signs of depression in small children?
  • How to identify the occurrences and onset of autism in kids below three years of age?
  • Explain how SWOT and PESTLE analysis is important for a business.
  • Why is it necessary to include mental health education in the school curriculum?
  • What is adult learning and does it have any proven benefits?
  • What is the importance of having access to libraries in high school?
  • Discuss the need for including research writing in school curriculums. 
  • Explain some of the greatest non-violent movements of ancient history. 
  • Explain the reasons why some of the species of wildlife are critically endangered today. 
  • How is the growing emission of co2 bringing an unprecedented change in the environment?
  • What are the consequences of an increasing population in developing nations like India? Discuss in detail. 
  • Are remote tests as effective as in-class tests? 
  • Explain how sports play a vital role in schools. 
  • What do you understand about social activities in academic institutions? Explain how they pose as a necessity for students. 
  • Are there countries providing free healthcare? How are they faring in terms of their economy? Discuss in detail. 
  • State case studies of human lives lost due to racist laws present in society.
  • Discuss the effect of COVID-19 vaccines in curbing the novel coronavirus.
  • State what according to you is more effective: e-learning or classroom-based educational systems.
  • What changes were brought into the e-commerce industry by the COVID-19 pandemic?
  • Name a personality regarded as a youth icon. Explain his or her contributions in detail.
  • Discuss why more and more people are relying on freelancing as a prospective career. 
  • Does virtual learning imply lesser opportunities? What is your take?
  • Curbing obesity through exercise: Analyze.
  • Discuss the need and importance of health outreach programs.
  • Discuss in detail how the upcoming generation of youngsters can do its bit and contribute to afforestation.
  • Discuss the 2020 budget allocation of the United States. 
  • Discuss some of the historic ‘rags to riches’ stories.
  • What according to you is the role of nurses in the healthcare industry?
  • Will AI actually replace humans and eat up their jobs? Discuss your view and also explain the sector that will benefit the most from AI replacing humans. 
  • Is digital media taking over print media? Explain with case studies. 
  • Why is there an increasing number of senior citizens in the elderly homes? 
  • Are health insurances really beneficial? 
  • How important are soft skills? What role do they play in recruitment? 
  • Has the keto diet been effective in weight loss? Explain the merits and demerits. 
  • Is swimming a good physical activity to curb obesity? 
  • Is work from home as effective as work from office? Explain your take. 

Qualitative research titles for high school students

Tips to write excellent qualitative research papers

Now that you have scrolled through this section, we trust that you have picked up a topic for yourself from our list of 100 brilliant qualitative research titles for high school students. Deciding on a topic is the very first step. The next step is to figure out ways how you can ensure that your qualitative research paper can help you grab top scores. 

Once you have decided on the title, you are halfway there. However, deciding on a topic signals the next step, which is the process of writing your qualitative paper. This poses a real challenge! 

To help you with it, here are a few tips that will help you accumulate data irrespective of the topic you have chosen. Follow these four simple steps and you will be able to do justice to the topic you have chosen!

  • Create an outline based on the topic. Jot down the sub-topics you would like to include. 
  • Refer to as many sources as you can – documentaries, books, news articles, case studies, interviews, etc. Make a note of the facts and phrases you would like to include in your research paper. 
  • Write the body. Start adding qualitative data. 
  • Re-read and revise your paper. Make it comprehensible. Check for plagiarism, and proofread your research paper. Try your best and leave no scope for mistakes. 

Wrapping it up!

To wrap up, writing a qualitative research paper is almost the same as writing other research papers such as argumentative research papers , English research papers , Biology research papers , and more. Writing a paper on qualitative research titles promotes analytical and critical thinking skills among students. Moreover,  it also helps improve data interpretation and writing ability, which are essential for students going ahead.

descriptive research title about school

Having a 10+ years of experience in teaching little budding learners, I am now working as a soft skills and IELTS trainers. Having spent my share of time with high schoolers, I understand their fears about the future. At the same time, my experience has helped me foster plenty of strategies that can make their 4 years of high school blissful. Furthermore, I have worked intensely on helping these young adults bloom into successful adults by training them for their dream colleges. Through my blogs, I intend to help parents, educators and students in making these years joyful and prosperous.

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  5. 100 Qualitative Research Titles For High School Students

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COMMENTS

  1. 18 Descriptive Research Examples (2024)

    Benefits of Descriptive Research: Limitations of Descriptive Research: Rich Data: Provides a comprehensive and detailed profile of the subject or issue through rich data, offering a thorough understanding (Gresham, 2016). Lack of Control: Cannot control variables or external factors, potentially influencing the accuracy and reliability of the data. Basis for Further Research: Helps to identify ...

  2. PDF Descriptive analysis in education: A guide for researchers

    Example of Descriptive Research that Uses Network and Cluster Analysis as Descriptive Tools 25 ... A detailed title is used to convey information to ensure that the graphic stands alone and complete 37. ... teachers and school administrators) who read about or otherwise apply research findings throughout ...

  3. Descriptive Research

    Descriptive research methods. Descriptive research is usually defined as a type of quantitative research, though qualitative research can also be used for descriptive purposes. The research design should be carefully developed to ensure that the results are valid and reliable.. Surveys. Survey research allows you to gather large volumes of data that can be analyzed for frequencies, averages ...

  4. How to Write an Effective Dissertation Title

    Clear Title: "The Impact of Social Media on High School Students' Academic Performance" The clear title specifies the subject (high school students) and the aspect of interest (academic performance), giving readers a clear idea of what to expect. 2. Brevity. While it's important to be descriptive, a dissertation title should also be concise.

  5. Descriptive Research Designs: Types, Examples & Methods

    Descriptive Research vs. Exploratory Research. Descriptive research is a research method that focuses on providing a detailed and accurate account of a specific situation, group, or phenomenon. This type of research describes the characteristics, behaviors, or relationships within the given context without looking for an underlying cause.

  6. What is Descriptive Research? Definition, Methods, Types and Examples

    Descriptive research is a methodological approach that seeks to depict the characteristics of a phenomenon or subject under investigation. In scientific inquiry, it serves as a foundational tool for researchers aiming to observe, record, and analyze the intricate details of a particular topic. This method provides a rich and detailed account ...

  7. Descriptive analysis in education: A guide for researchers

    Descriptive analysis in education: A guide for researchers. Whether the goal is to identify and describe trends and variation in populations, create new measures of key phenomena, or describe samples in studies aimed at identifying causal effects, description plays a critical role in the scientific process in general and education research in particular.

  8. Descriptive Research: Characteristics, Methods + Examples

    Descriptive research is a research method describing the characteristics of the population or phenomenon studied. This descriptive methodology focuses more on the "what" of the research subject than the "why" of the research subject. The method primarily focuses on describing the nature of a demographic segment without focusing on ...

  9. Descriptive Research 101: Definition, Methods and Examples

    For example, suppose you are a website beta testing an app feature. In that case, descriptive research invites users to try the feature, tracking their behavior and then asking their opinions. Can be applied to many research methods and areas. Examples include healthcare, SaaS, psychology, political studies, education, and pop culture.

  10. Descriptive Research: Design, Methods, Examples, and FAQs

    Descriptive research is an exploratory research method.It enables researchers to precisely and methodically describe a population, circumstance, or phenomenon.. As the name suggests, descriptive research describes the characteristics of the group, situation, or phenomenon being studied without manipulating variables or testing hypotheses.This can be reported using surveys, observational ...

  11. Descriptive Research Design

    As discussed earlier, common research methods for descriptive research include surveys, case studies, observational studies, cross-sectional studies, and longitudinal studies. Design your study: Plan the details of your study, including the sampling strategy, data collection methods, and data analysis plan.

  12. 191+ Descriptive Research Topics for High School Students [2024]

    Check out the latest descriptive research topics for high school students in 2024. Education. Evolution of Teaching Methods. School Choice and Student Performance. Impact of Multilingual Education. Integrating Technology in Classroom Learning. Homeschooling: Trends and Results. Assessment of Project-Based Learning.

  13. Descriptive Research Studies

    Descriptive research may identify areas in need of additional research and relationships between variables that require future study. Descriptive research is often referred to as "hypothesis generating research." Depending on the data collection method used, descriptive studies can generate rich datasets on large and diverse samples. Limitations:

  14. Descriptive Analysis: How-To, Types, Examples

    In descriptive analysis, it's also worth knowing the central (or average) event or response. Common measures of central tendency include the three averages — mean, median, and mode. As an example, consider a survey in which the height of 1,000 people is measured. In this case, the mean average would be a very helpful descriptive metric.

  15. 55 Brilliant Research Topics For STEM Students

    There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students. A study of protease inhibitor and how it operates. A study of how men's exercise impacts DNA traits passed to children. A study of the future of commercial space flight.

  16. 500+ Quantitative Research Titles and Topics

    Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology, economics, and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas ...

  17. Descriptive analysis in education: A guide for researchers

    Title: Descriptive analysis in education: A guide for researchers: Description: Whether the goal is to identify and describe trends and variation in populations, create new measures of key phenomena, or describe samples in studies aimed at identifying causal effects, description plays a critical role in the scientific process in general and education research in particular.

  18. 200+ Experimental Quantitative Research Topics For Stem Students

    Here are 10 practical research topics for STEM students: Developing an affordable and sustainable water purification system for rural communities. Designing a low-cost, energy-efficient home heating and cooling system. Investigating strategies for reducing food waste in the supply chain and households.

  19. 100 Qualitative Research Titles For High School Students

    Qualitative research papers are written by gathering and analyzing non-numerical data. Generally, teachers allot a list of topics that you can choose from. However, if you aren't given the list, you need to search for a topic for yourself. Qualitative research topics mostly deal with the happenings in society and nature.

  20. PDF Research Design: Descriptive Research

    154 Research Research Design: Descriptive Research Helen L. Dulock, RN, DNS From the Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA. Address reprint requests to Helen L Dulock, RN, DNS, Assistant Professor, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322. RESEARCH DESIGN is a blueprint or plan specifically created to answer the research

  21. Tartu-Moscow Semiotic School

    The Tartu-Moscow Semiotic School is a scientific school of thought in the field of semiotics that was formed in 1964 and led by Juri Lotman.Among the other members of this school were Boris Uspensky, Vyacheslav Ivanov, Vladimir Toporov, Mikhail Gasparov, Alexander Piatigorsky, Isaak I. Revzin, and others.As a result of their collective work, they established a theoretical framework around ...

  22. International Master in COMPARATIVE SOCIAL RESEARCH

    Higher School of Economics , Moscow, 2017 "Comparative sociology is not a particular branch of sociology; it is sociology itself, in so far as it ceases to be purely descriptive and aspires to account for facts" (Emile Durkheim, 1895: The Rules of Sociological Method) „The International Comparative Social Research