Research methodology is one of the most important — and most frequently misunderstood — sections of any dissertation or research project. Choosing between qualitative and quantitative methods is not simply a matter of personal preference: it should flow directly from your research question and the epistemological assumptions underlying your study. This guide explains both approaches clearly and helps you decide which is right for your project.
What Is Research Methodology?
Research methodology refers to the overall strategy, logic, and design of your research. It encompasses:
- Your research philosophy (what you believe knowledge is and how it can be generated).
- Your research approach (inductive or deductive).
- Your research design (how the study is structured).
- Your data collection methods (how you will gather your data).
- Your data analysis strategy (how you will interpret the data).
The methodology chapter of a dissertation justifies all of these choices. It does not just describe what you did — it explains why each choice was the most appropriate given your research question.
Research Philosophy: Positivism vs. Interpretivism
Two dominant research philosophies underpin most social science and business research:
Positivism
Positivists believe that objective reality exists independently of the observer, and that knowledge can be generated through systematic observation and measurement. Positivist research tends to be quantitative — it produces numerical data, tests hypotheses, and seeks generalisable laws or patterns. The natural sciences are the model for positivist research.
Interpretivism
Interpretivists believe that social reality is constructed through human interpretation and experience, and that meaning is context-dependent. Interpretivist research tends to be qualitative — it generates rich, contextual data through interviews, observation, or document analysis, and seeks to understand meanings rather than measure frequencies. The emphasis is on depth and understanding rather than breadth and generalisation.
A third position, pragmatism, underpins mixed-methods research. Pragmatists choose methods based on what best answers the research question, regardless of philosophical orientation.
Deductive vs. Inductive Approaches
- Deductive reasoning moves from theory to data. You develop a hypothesis based on existing theory and then test it through data collection. This is associated with quantitative research.
- Inductive reasoning moves from data to theory. You collect data first and allow theories or patterns to emerge from analysis. This is associated with qualitative research.
- Abductive reasoning moves iteratively between theory and data, refining both. Common in mixed-methods designs.
Quantitative Research
Quantitative research collects and analyses numerical data. It is appropriate when you want to:
- Measure the frequency, extent, or distribution of a phenomenon.
- Test a hypothesis or examine the relationship between variables.
- Generalise findings from a sample to a larger population.
- Compare outcomes across different groups or time periods.
Common Quantitative Methods
- Surveys and questionnaires — useful for gathering data from large samples.
- Experiments — allow control of variables and causal inference.
- Secondary data analysis — analysing existing datasets (e.g., government statistics, clinical trial data).
Strengths of Quantitative Research
- Large sample sizes improve reliability and generalisability.
- Statistical analysis allows for precise measurement of relationships.
- Findings can be replicated and tested by other researchers.
Limitations of Quantitative Research
- Numbers alone cannot capture complexity, nuance, or lived experience.
- Survey responses may not accurately reflect actual behaviour or attitudes.
- Correlation does not equal causation.
Qualitative Research
Qualitative research collects and analyses non-numerical data — words, images, themes, and meanings. It is appropriate when you want to:
- Explore a topic in depth, particularly one that is complex or under-researched.
- Understand how or why people behave as they do.
- Examine lived experiences, perceptions, or social processes.
- Develop new theory or conceptual frameworks from empirical observation.
Common Qualitative Methods
- Semi-structured interviews — flexible, in-depth conversations guided by an interview schedule.
- Focus groups — group discussions that generate data through interaction.
- Ethnography and observation — studying a group or setting in its natural context.
- Document analysis — analysing texts, policies, media, or archival materials.
- Case studies — in-depth examination of a single case or small number of cases.
Strengths of Qualitative Research
- Produces rich, contextual, nuanced data.
- Allows unexpected themes and insights to emerge.
- Appropriate when studying sensitive or complex topics.
Limitations of Qualitative Research
- Small sample sizes limit generalisability.
- Findings can be influenced by researcher bias.
- Analysis is time-intensive and subjective.
Mixed Methods Research
Mixed methods research combines quantitative and qualitative approaches within a single study. Common designs include:
- Sequential explanatory: Quantitative phase first, then qualitative to explain the results.
- Sequential exploratory: Qualitative phase first to identify themes, then quantitative to measure their extent.
- Concurrent triangulation: Both approaches conducted simultaneously, then findings compared to strengthen validity.
Mixed methods are increasingly popular in business, management, education, and health research because they capture both the breadth of quantitative findings and the depth of qualitative insights.
How to Justify Your Methodology
In your dissertation's methodology chapter, do not just describe your methods — justify each choice in relation to your research question and philosophy. For example:
"This study adopts an interpretivist philosophy, as the aim is to understand the subjective experiences of first-generation university students rather than to measure a variable across a large population. Accordingly, a qualitative approach using semi-structured interviews was selected, as interviews allow participants to share their experiences in their own words and enable the researcher to explore unexpected themes in depth (Bryman, 2016)."
This kind of justified, coherent methodological reasoning is what separates good dissertation methodology chapters from weak ones.