Types of Research Methods
Research methods can be classified in several ways depending on the nature of the study, its purpose, data collection techniques, type of data used, research design, and time dimension. Understanding these classifications helps researchers select the most appropriate methodology for addressing their research objectives and answering research questions effectively.
On This Page:
- Types of Research Methods Explained Simply
- What are Research Methods?
- Research Methods According to the Nature of the Study
- Research Methods According to the Purpose of the Study
- Research Methods According to Data Collection Methods
- Research Methods According to the Type of Data
- Research Methods According to Research Design
- Research Methods According to Time Dimension
- Research Methods in Business Research
- Common Mistakes
- Advantages and Limitations of Research Method Classifications
- Research Methods in the Age of AI and Digital Research
- When to Use Different Research Methods
- Exam Tip
| Classification Criterion | Main Types |
|---|---|
| Nature of the Study | Descriptive Research, Analytical Research |
| Purpose of the Study | Fundamental Research, Applied Research |
| Data Collection Methods | Qualitative Research, Quantitative Research |
| Type of Data | Primary Research, Secondary Research |
| Research Design | Exploratory Research, Conclusive Research |
| Time Dimension | Cross-Sectional Research, Longitudinal Research |
Main classifications of research methods
Types of Research Methods Explained Simply
Imagine that two researchers are studying employee wellbeing. The first researcher conducts interviews with employees to understand their experiences and perceptions. The second researcher distributes a questionnaire to 1,000 employees and performs statistical analysis.
Both researchers are studying the same topic, but they are using different research methods. Similarly, one researcher may investigate a problem to generate new theoretical knowledge, while another seeks to solve a practical business challenge. Both studies are valid, but they belong to different categories of research methods.
Understanding these classifications helps researchers select the most suitable approach for their specific research objectives.
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What are Research Methods?
Research methods refer to the systematic procedures used to collect, analyse, interpret, and present information in order to answer research questions and achieve research objectives. Research methods provide the practical framework that enables researchers to investigate phenomena in a structured and scientifically rigorous manner.
Different research methods serve different purposes. Some methods focus on exploring new phenomena, while others aim to test theories or solve practical problems. Some rely on numerical data, whereas others focus on experiences, perceptions, and behaviours.
As a result, researchers must carefully select methods that align with the nature of their study, research objectives, and available resources. In business and management studies, research methods play a crucial role in ensuring that findings are credible, reliable, and relevant.
Research Methods According to the Nature of the Study
Research methods can be classified as descriptive or analytical according to the nature of the study.
Descriptive research focuses on describing phenomena as they currently exist. The objective is to provide an accurate picture of situations, behaviours, attitudes, or characteristics without attempting to explain why they occur. For example, a study measuring employee satisfaction levels at Microsoft would primarily be descriptive because it aims to describe existing conditions.
Analytical research goes a step further by critically examining existing information to identify patterns, relationships, explanations, or underlying causes. For example, a researcher analysing why employee satisfaction differs across departments may conduct analytical research.
While descriptive research answers questions such as “What is happening?”, analytical research seeks to answer “Why is it happening?” and “What does it mean?”
Research Methods According to the Purpose of the Study
According to research purpose, studies can be classified as fundamental research or applied research.
Fundamental research aims to expand theoretical understanding and contribute to academic knowledge. Researchers seek to develop concepts, theories, and explanations without necessarily pursuing immediate practical applications. For example, research exploring how organisational trust develops over time may contribute to leadership theory without directly addressing a specific business problem.
Applied research, by contrast, focuses on solving practical problems faced by organisations, industries, or society. For example, a study investigating how Tesco can improve employee retention rates would be considered applied research because it seeks to generate actionable recommendations.
Although these categories differ in purpose, both adopt systematic and scientific approaches to conducting research.
Research Methods According to Data Collection Methods
Research methods can also be classified according to how data is collected.
Quantitative research focuses on numerical data and statistical analysis. Researchers collect measurable information that can be analysed mathematically to identify relationships, patterns, and trends. For example, Amazon may conduct large-scale customer satisfaction surveys and use statistical techniques to analyse responses.
Qualitative research, on the other hand, focuses on non-numerical information such as experiences, opinions, emotions, perceptions, and behaviours. Researchers typically collect qualitative data through interviews, focus groups, observations, and document analysis. For example, researchers investigating employee experiences of remote work at Spotify may conduct in-depth interviews to understand how employees perceive organisational culture.
While quantitative research emphasises measurement and generalisation, qualitative research emphasises understanding and interpretation.
Research Methods According to the Type of Data
Research methods may also be classified according to the type of data used.
Primary research involves collecting original data specifically for the study being conducted. Common primary data collection methods include:
For example, a researcher studying customer perceptions of a new Starbucks product may collect primary data directly from customers.
Secondary research relies entirely on existing information that has already been collected by others. Sources of secondary data include:
- academic journals
- books
- company reports
- government publications
- industry databases
For example, a study analysing sustainability practices at Unilever using published reports and academic literature would be classified as secondary research.
It is important to note that most primary research projects also involve secondary research during the literature review stage.
Research Methods According to Research Design
According to research design, research methods can be classified as exploratory or conclusive.
Exploratory research seeks to improve understanding of a phenomenon and generate insights rather than provide definitive answers. Researchers often use exploratory studies when little is known about the research topic. For example, a study exploring how artificial intelligence is changing leadership practices may adopt an exploratory design because the topic is still evolving.
Conclusive research seeks to generate findings that support conclusions, recommendations, or decision-making.Conclusive studies are generally more structured and often involve hypothesis testing.
The main differences are summarised below:
| Aspect | Exploratory Research | Conclusive Research |
|---|---|---|
| Structure | Flexible and loosely structured | Formal and structured |
| Methodology | Investigative and adaptable | Definitive and systematic |
| Hypotheses | Usually not tested | Frequently tested |
| Findings | Preliminary insights | More definitive conclusions |
| Main objective | Exploration and understanding | Verification and decision support |
Conclusive research can be further divided into descriptive and causal research designs.
Research Methods According to Time Dimension
Research methods can also be classified according to the time period over which data is collected.
Cross-sectional research involves collecting data at a single point in time. For example, a survey measuring employee engagement at Google during 2026 would be considered cross-sectional because data is collected once.
Longitudinal research involves collecting data repeatedly over an extended period. For example, a study examining how employee attitudes towards remote work evolve over five years would be classified as longitudinal research.
Cross-sectional studies provide a snapshot of a phenomenon, whereas longitudinal studies help researchers understand change and development over time.
Research Methods in Business Research
Business researchers frequently combine multiple classifications simultaneously.
For example, a dissertation investigating customer loyalty at Singapore Airlines may be:
- applied research
- quantitative research
- primary research
- descriptive research
- cross-sectional research
Similarly, a study exploring how AI influences organisational culture at Salesforce may be:
- fundamental research
- qualitative research
- primary research
- exploratory research
- cross-sectional research
These classifications are not mutually exclusive. Instead, they describe different aspects of the same study. Understanding these classifications helps researchers construct coherent and logically consistent methodologies.
Common Mistakes
A widespread misconception is that a dissertation must belong to only one category of research method. In reality, studies are usually classified simultaneously according to several criteria. Many students also confuse research design, research approach, and research methods. Although these concepts are closely related, they refer to different components of the methodology.
Another issue frequently encountered in methodology chapters is inconsistent classifications. For example, students sometimes describe a study as exploratory while simultaneously claiming that it tests formal hypotheses. Researchers occasionally focus heavily on explaining data collection methods while neglecting to justify the broader methodological choices that underpin the study.
It is also common to see dissertations describing classifications without explaining why those choices are appropriate for the research objectives.
Advantages and Limitations of Research Method Classifications
One significant benefit of classifying research methods is that it helps researchers make methodological decisions systematically. The classifications provide a useful framework for designing coherent studies.
Another advantage is improved transparency. Readers can understand the nature, purpose, and scope of the research more easily when methodological choices are clearly classified and explained. These classifications also help researchers compare different methodological options and select approaches that align with their objectives.
However, research classifications should not be viewed as rigid categories. Many studies combine characteristics of multiple classifications, making strict categorisation difficult. Another limitation is that students sometimes focus excessively on labels rather than understanding the practical implications of methodological choices.
Consequently, classifications should be viewed as tools for understanding research rather than as rules that restrict methodological flexibility.
Research Methods in the Age of AI and Digital Research
Artificial intelligence and digital technologies are reshaping many traditional research methods.
Researchers increasingly use AI tools to conduct literature reviews, process qualitative data, analyse large datasets, identify patterns, generate transcriptions, and support statistical analysis. Digital technologies also allow researchers to collect data through online surveys, social media platforms, digital communities, mobile applications, and behavioural analytics systems.
As a result, traditional distinctions between qualitative and quantitative research are becoming less rigid. For example, AI can analyse large volumes of textual data that were previously difficult to process systematically.
At the same time, AI-assisted research introduces important challenges relating to data quality, algorithmic bias, transparency, ethical considerations, and academic integrity. Researchers must evaluate AI-generated outputs critically rather than accepting them without verification.
Although technology is transforming research practice, human judgement remains essential when selecting methods, interpreting findings, and drawing conclusions.
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When to Use Different Research Methods
You should select research methods according to the nature of your research problem, objectives, available resources, and desired outcomes.
Generally:
- use descriptive research when describing existing phenomena
- use analytical research when evaluating and interpreting existing information
- use fundamental research when expanding theoretical knowledge
- use applied research when solving practical problems
- use quantitative research when numerical analysis is required
- use qualitative research when understanding experiences and perceptions
- use primary research when original data is needed
- use secondary research when existing information is sufficient
- use exploratory research when investigating unfamiliar topics
- use conclusive research when testing ideas or supporting decisions
- use cross-sectional research when studying a phenomenon at one point in time
- use longitudinal research when analysing change over time
The most appropriate research method is always the one that best supports the achievement of the research objectives.
Exam Tip
Students often memorise research classifications without understanding how they relate to their own dissertations. Examiners are usually more interested in whether you can justify your methodological choices than whether you can simply define different types of research. Always explain why each classification is appropriate for your specific study and how it helps answer your research questions.
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[1] Bajpai, N. (2011) “Business Research Methods” Pearson Education India
[2] Herbst, F. & Coldwell, D. (2004) Business Research, Juta and Co Ltd, p.15
[3] Herbst, F. & Coldwell, D. (2004) Business Research, Juta and Co Ltd, p.13
[4] Kumar, R. (2008) “Research Methodology” APH Publishing Corporation
[5] Kumar, R. (2008) “Research Methodology” APH Publishing Corporation
[6] Table adapted from Kumar, R. (2008) “Research Methodology” APH Publishing Corporation
[7] Bajpai, N. (2011) “Business Research Methods” Pearson Education India
[8] Chawla, D. & Sodhi, N. (2011) “Research Methodology: Concepts and Cases” Vikas Publishing House PVT Ltd
John Dudovskiy