20+ Types of Research (Explanation, Types, and Usage)

April 29, 2025

20+ Types of Research (Explanation, Types, and Usage)

Research is the systematic process of gathering, investigating, studying, and analyzing information or raw data for better understanding, increasing knowledge, solving problems, or developing newer ideas. It primarily involves collecting raw data, organizing it, evaluating it, and last but not least drawing conclusions and actionable insights.

Research plays a vital role in almost all fields and industries, right from helping businesses make more informed decisions, identify and capitalise on opportunities, better understand customers, competitors, industries, and markets, and allocate capital and resources more effectively, to uncovering newer scientific discoveries and unlocking academic advancements.

Research helps in exploring, measuring, and testing different ideas and hypotheses over both the long term and the short term to provide data-driven and actionable insights that guide strategic actions and plans.

However, with the availability of so many established research methodologies to choose from, one ends up wondering what the different types of research methods are and which research method they should go with.

This article will help you understand and gain more clarity on different types of research methods. This will, in turn, help the researcher better plan, design, and execute the research project by utilising the most appropriate research methodology.

Different Types of Research

I have grouped all of these research methodologies into different categories and sections, like core category, business and market research methods, scientific and experimental research methods, data-driven research methods, and human-centered research methods, for better understanding.

Core Categories of Research

Applied Research

Applied research is a scientific study that tries to find solutions for various practical problems one faces in day-to-day life using knowledge and understanding that one has gained from basic research.

It is primarily focused on identifying and addressing niche industry, social, and technological challenges.

Examples:

Developing a new drug or solution to treat a disease is an example of applied research.
Finding the most effective ways to do specific things.
Improving existing technologies.

Advantages: One of the biggest advantages of applied research is that it provides immediate, effective, and practical solutions to current problems.

Disadvantages: Since applied research provides practical solutions, it is limited to specific applications and is not used to generate theoretical advancements.

Basic Research

Basic (fundamental or pure) research mainly focuses on increasing and expanding the general knowledge and understanding of the fundamental principles that govern the systems without seeking, creating or developing any immediate or gradual practical solutions.

In simple terms, basic research is theoretical and mainly used to understand and create scientific theories.

Examples:

Studying how the human brain works.
Studying how nations or economies rise and fall.

Advantages: Due to its theoretical nature, basic research creates a solid foundation for further applied research.

Disadvantages: Does not offer any solutions to real-world problems.

Primary Research

Primary research involves gathering original and first-hand data from the target population through interviews, surveys, feedback, etc.

Examples:

Consumer feedback on a product or service.
Field research to understand consumer wants and needs.
Clinical trials for a new vaccine or pills.
Interviewing subject experts to understand it more deeply.

Advantages: Access to firsthand data that is specific to the researcher’s objective. Additionally, gives the researcher full control over the data and the data collection methods.

Disadvantages: Gathering firsthand or primary data is time-consuming, labour-intensive, and resource-draining.

Secondary Research

Secondary research uses all the existing data that other researchers have gathered from different sources.

In simple terms, data is collected from sources like market research reports, studies, books, journals, research papers, and publications.

Examples:

Using existing data to understand consumer choices and behaviour.
Studying available government data to understand the demographics of a country or nation.

Advantages:

Extremely cost-effective.
Time saving.
Provides the researcher with a wide range of data.
Helps in validating primary research.

Disadvantages:

Lacks data specificity; at times, the data or the sources of data collection might be unreliable, the data might also become outdated, all of these can lead to inaccurate results and incorrect conclusions.

Refer to this article if you want to know more in-depth about primary vs. secondary research.

Qualitative Research

Q ualitative re search explores subjective data such as human experiences, behaviour, motivations, wants and needs, likes and dislikes, tastes and preferences, etc., through techniques like focus groups and interviews.

Examples:

Analysing and studying consumer preferences and sentiments about a brand or a product.
Studying user experiences.

Advantages:

Gives deeper and more comprehensive insights into human behaviour and human psychology.

Disadvantages:

Results are extremely difficult to quantify, and the interpretations are subjective.

Quantitative Research

Quantitative research involves easily quantifiable data like numbers and statistical models to understand the relationship between different variables and to measure patterns and trends.

Examples:

Analysing sales data to identify consumer purchases as well as consumption patterns.
Calculate the difference between two variables: stress levels and screen time.
Measuring the impact of exercise on sleep/stress levels/or heart rate.

Advantages:

The quantitative research is objective in nature, hence, the results can be generalised to a larger audience.

Disadvantages:

Quantitative data only explains how much or how many, it does not explain why or what, thereby missing contextual factors.

Go through this article to learn more about qualitative vs. quantitative research.

Inductive Research

Inductive research helps the researcher develop new theories and hypotheses based on the observed patterns and concluded findings.

The researcher starts with the data, then finds some common themes and patterns within the collected data, and then develops a theory based on those findings and tests it in real-world scenarios.

Example:

Studying migration trends in a country to forecast future shifts in demographics.
A crowded bookstore on a weekend might conclude that weekends are a popular shopping time for bookworms.

Advantages:

Inductive research is open-ended in nature, therefore allowing newer discoveries and developments beyond initial expectations.
Moreover, inductive research is also inherently very flexible and adaptable.

Disadvantages:

Inductive research only allows the development of hypotheses, but it does not lead to any solid conclusions.
Additionally, it demands further research and validation.
The findings in this research are not always replicable.

Deductive Research

Deductive research is done mainly to test existing hypotheses and theories through well-structured experiments and observations.

It starts with having an existing theory or hypothesis in mind, collecting and analysing the necessary data, and then either confirming or rejecting the hypothesis based on the research findings.

Example:

Testing hypotheses about different factors, like eating certain foods, can lead to better health and longevity.
Certain types of advertising copy might increase sales, which can be a hypothesis. Later on, one can conduct experiments to test this hypothesis.

Advantages:

Deductive research follows proper logical reasoning, instead of relying on guesses.
It provides well-structured, conclusive results along with easily measurable outcomes.

Disadvantages:

It only tests existing hypotheses rather than developing new ones.
Additionally, the conclusions are heavily dependent on the accuracy of the initial assumptions.

Inductive research builds theories and hypotheses from particular observations; on the other hand, deductive research tests all the pre-existing assumptions with specific data.

Business & Market Research

Descriptive Research

Descriptive research involves gathering new or existing data to describe consumer behaviour, market trends, demographics, and conditions within an economy.

Example:

Analysing social media trends in consumer engagement.
Demographic profile of smartphone users of a particular brand.

Advantages:

Gives the researcher a comprehensive summary of the existing conditions about the subject, which supports more informed decision-making, and is also useful for benchmarking.

Disadvantages:

It primarily describes the phenomenon but fails to explain causation.
To come to any solid conclusions, the researcher needs a large sample size to study.

Exploratory Research

Exploratory research investigates or explores new opportunities to capitalise on, as well as unlock new insights without any structured hypothesis.

Example:

Uncovering unmet consumer needs by conducting focus groups and interviews with the target audiences.

Advantages:

Helps small and large businesses stay ahead of the competition, innovate and adapt much faster, do things more efficiently, etc.

Disadvantages:

The research findings might be vague and require further research to get a better understanding of the subject.

The main difference between descriptive research and exploratory research is that “descriptive research describes existing conditions about a subject or phenomenon, whereas exploratory research helps find new opportunities.”

Causal Research

Causal research identifies and explores the cause-and-effect relationship between two or more variables.

Studies how one variable influences the other variable.

Example:

Employee training and development might impact employee productivity and performance.

Advantages:

By establishing cause-and-effect relationships between variables, businesses can forecast demand for the product and take more strategic decisions that are data-driven and full of insights, rather than depending on luck or fate.

Disadvantages:

One of the main disadvantages of causal research is that it is extremely challenging to replicate.
It also requires controlled environments.
Additionally, any external variable(s) can severely impact the results.

Correlational Research

Correlational research investigates and examines the relationship between two or more variables without determining any causal relationships.

Example:

Studying the relationship between two variables;

Self-esteem and usage of dating applications
Diabetes and weight
Quality of sleep and productivity at work

Advantage:

Helps find connections and relationships between two or more variables, and is an absolutely good place to start for early research.

Disadvantage:

The main disadvantage is that the correlational research does not establish or confirm any cause and effect between the involved variables; the researcher cannot be sure that one thing causes the other, and other factors might also be involved.
The connection between the two variables could be misleading.

The main difference between causal research and correlational research is that “Causal research understands cause-and-effect, whereas correlational research finds relationships between the variables.”

Competitive Intelligence & Market Research

Competitor analysis or competitive intelligence is a type of research methodology that involves researching and analyzing competitors to understand their strengths and weaknesses, plans and strategies, in order to gain a competitive advantage.

Examples:

Studying competitors’ pricing models and strategies.
Monitoring the advertising, marketing, and branding strategies.
Conducting a market survey to identify consumers’ tastes and preferences.

Advantages:

Helps businesses gain and maintain a competitive edge over the competition.

Disadvantages:

It can be expensive, time-consuming, and require deep expertise, skilled experts, and specialised tools.

Scientific & Experimental Research

Experimental Research

Experimental research is all about controlled hypothesis testing to establish cause-and-effect relationships – whether one independent variable causes a change in the dependent variable.

Examples:

Testing a new drug’s efficiency and effectiveness through various clinical trials.
Finding the most appealing packaging design that can influence their purchasing decisions.
Studying how the use of educational technology can affect the students’ engagement, boost curiosity, focus, and improve academic performance.

Advantages:

Establishes the cause and effect between two or more variables with high precision and accuracy while minimising bias.

Disadvantages:

The experimental settings in some cases may not always reflect real-world situations.
Additionally, the experimental research can be expensive and time-consuming.

Laboratory Research

Laboratory research is all about conducting experiments in highly controlled environments to eliminate any external interference and disruptions.

Examples:

Studying how attention, perception, and memory work in the human brain.
Developing new materials or devices with specific properties, like semiconductors or smartphones.

Advantages:

Gives highly accurate and easily reproducible results, all while minimising the external variables.

Disadvantages:

Real-world applicability is subjective; additionally, setting up labs and equipment can be really expensive and time-consuming.

Field Research

Field research is all about studying the subject or the participants in their natural or real settings or environments.

Examples:

Studying animal mating behaviour.
Analysing consumer behaviour and habits in stores or malls.

Advantages:

Field research provides real-time insights into the subject.
Provides the chance to observe natural behaviour.

Disadvantages:

The involved variables are hard to control, and in some cases, environmental factors might severely impact the research findings.

Longitudinal Research

Longitudinal research is all about collecting data and information from the same respondents, such as individuals, groups, or a population, over an extended time period, like days, weeks, months, years, or even decades.

Examples:

Tracking everyday wellness and lifestyle habits of a group of people and their impact over many years and decades.
Tracking the development of children over several years or decades.

Advantages:

Reveals long-term trends and helps in understanding the principles that govern the system.

Disadvantages:

Without a doubt, longitudinal studies are time-consuming and very expensive.

Fact: The longest longitudinal research ever done is the “Grant and Glueck Study” started in 1938 and is still going on today.

Cross-Sectional Research

Cross-sectional research is about studying different groups of the population at a single point in time.

Examples:

Studying how smoking affects different age groups or genders.
Measuring the height and weight of a particular group of children at a particular time.

Advantages:

Cross-sectional research is very fast and extremely cost-effective as compared to longitudinal studies.

Disadvantages:

Cross-sectional research does not track or monitor changes over a long period.

Mixed Research

Mixed research is a combination of both qualitative research (descriptive insights) as well as quantitative research (numerical data) to gain a much better understanding of the research problem.

Examples:

Using surveys to understand what people do (activity – quantitative data), and interviewing them to understand why they do it (reason – qualitative data).

Advantages:

The researcher gains comprehensive insights as well as a deep understanding of the subject.

Disadvantages:

The gathered data can be difficult to analyse, as well as conducting the research process becomes more complex.

Advanced and Data-Driven Research

Grounded Theory Research

Grounded theory is a type of qualitative research that primarily focuses on developing theories and concepts from systematically collected, analysed, and interpreted real-world data.

You first start with data, then you look for common themes and patterns within that data, and then you build a theory based on those patterns.

Examples: Examining the study habits of top-performing students, you can create a theory about the most effective learning strategies.

Advantages:

Grounded theory is great for exploring newer areas.
It gives in-depth insights and a wider understanding of the topic.
It is extremely flexible and adaptable, as and when any new data or insights emerge, the research process is bound to change.

Disadvantages:

Grounded theory demands large amounts of data, thereby making it more time-consuming.
At times, one might encounter issues while generalising the research findings to other target groups.
Grounded theory is subjective since the researcher’s interpretation of the findings will influence the theory or hypotheses developed from the research.
The researcher can add their views and biases to the research to distort the results.

Inferential Analysis Research

Inferential analysis is used to make predictions or draw conclusions about a larger group or population by studying a smaller group of participants and data.

The researcher starts by collecting data from a small group of participants, then uses complex statistical tools and techniques to analyse the data, and later draws conclusions about the entire population based on the small sample size.

Examples:

Testing a drug or a vaccine on a small group of patients to find its effectiveness on the general population.
Using a smaller sample of voters and predict the larger outcome of an election.

Advantages:

Easier and cheaper to study a smaller sample size than the entire population
Generalisation of the findings based on the studied data
Inferential research is more objective than subjective since statistical methods give a more objective way to look at the data than subjective opinions and views.

Disadvantages:

One of the biggest disadvantages of inferential research is that it demands deep statistical knowledge and expertise.
The small sample size or incorrect representation might not accurately represent the large population.
Any statistical tests and methodologies rely on assumptions about the data, if these assumptions are incorrect or are violated, the end research results can also be incorrect.
Statistical results can be easily misinterpreted or misused, which can lead to incorrect research conclusions.

The main difference between grounded theory research and inferential research is that “grounded theory creates theories from existing data and observed patterns, whereas inferential research tests hypotheses about large populations from small sample data using statistical models.”

Social, Psychological, and Human-Centred Research

Ethnographic Research

Ethnographic research involves observing behaviours, routines, lifestyles, habits, interactions, and cultural practices of the target audience in real life to understand their point of view.

Examples:

Living with members of a particular nation, culture, or socio-economic background to understand how they live their lives.
Observing and recording the day-to-day interactions of people in the workplace.

Advantages:

Gives a rich, detailed description and contextual understanding of the subject and the results.
Allows the researcher to observe the natural behaviour and interactions of the audience.
Ethnographic research is highly effective in understanding complex social phenomena and the lived experiences of individuals within their natural environment.
Gives a deeper and wider understanding of the culture.

Disadvantages:

The findings of one group cannot be generalised to other groups.
Highly time-consuming, resource-draining, and labour-intensive.
Raise concerns regarding privacy, consent, and confidentiality.

Phenomenological Research

Phenomenological research seeks to understand how the target audience experiences a specific event or phenomenon.

Examples:

Interviewing people who have lived in war-torn countries to understand their experiences.
Studying people who had experienced a near-death experience to understand how they view death, life, and the afterlife.

Advantages:

Deeper insights into individual perspectives.
Extremely helpful in understanding any subjective topics, experiences, or emotions.
Catches the complexity and richness of human life and experiences.

Disadvantages:

Individual experiences are subjective, hence, the results concluded from the phenomenological research are difficult to generalise.
Difficult to gather large amounts of samples, so the researchers rely on smaller sample sizes.

The main difference between ethnographic research and phenomenological research is that “ethnographic research explores and understands the shared behaviours of groups; on the other hand, phenomenological research explores and studies individuals’ lived experiences.”

Action Research

Action research tries to understand and solve the problem at the same time in real-world settings.

Examples:

An NGO or a group of volunteers works to identify and fix the local problems and issues faced by the people.
Teacher of different subjects and grades collaborate to understand, develop, and test new teaching strategies in their classrooms.

Advantages:

Direct and practical application to real-world problems.
Encourages deep involvement, continuous improvement and constant learning.
Flexible to changing conditions and a fast-paced world.

Disadvantages:

Findings are subjective and cannot be generalised to other problems or settings.
Controlling the variables in real-world situations can be highly challenging.

Diagnostic Research

Diagnostic research mainly aims to find the root cause of a specific problem or an issue.

Examples:

Analysing the sales data to identify the main cause of the declining revenue problem.
A doctor conducts various tests to find the causes of the symptoms that the patient is showing.

Advantages:

Gives a crystal clear understanding of the main cause of the problem.
Provides timely, hyper-targeted and most effective interventions.
Useful in preventing the problem in the future.
Can be used in diverse fields and situations.

Disadvantages:

One needs to do proper data collection and analysis to come up with good solutions.
One might find it highly challenging to separate all the contributing factors.
Good diagnostic research needs comprehensive data and a lot of resources. Sometimes, its limited availability can be a major hindrance.
At times, correlation can be mistaken for causation.
While diagnosing problems, one might end up creating or encountering newer problems.

How To Choose The Right Research for Your Study?

Choosing the right research method is mainly dependent on various key factors like the objective of the research, time frame, and availability of budget and other resources.

Firstly, one needs to be clear about the research objectives or what the research aims to achieve, whether to explore new ideas, solutions, or opportunities. Measure and calculate different variables, or simply test an existing hypothesis or theory. This will help the researcher find exploratory, descriptive, or experimental research most suitable for that particular research project.

Timeframe is another factor that one needs to consider. Longitudinal research is best when one wants to do research over a longer period of time; on the other hand, cross-sectional research is a good option when time is short.

Last but not least, financial budget and resources. If you are running short on time and resources, secondary research is your best option. If you have abundant time and resources, as well as deep pockets, primary research is the answer for you.

By thoughtfully considering and evaluating these three factors, one can choose the most effective research method for their needs.

Conclusion

However, one needs to remember that each of these research methodologies has its advantages and disadvantages; one needs to find what works best for you and your objectives.

Having a clear understanding of the different types of research – whether primary or secondary, quantitative or qualitative, exploratory or experimental- is vital for selecting the right research method to answer vital research questions. Each of the methods mentioned above serves a unique purpose, from saving time and money to uncovering opportunities, testing hypotheses, and predicting outcomes based on a small sample of data.

You might be into academics or business, by choosing the right research type can help you ensure the research findings are not only accurate and reliable but also actionable and impactful.