Is your research seeking the 'what' or the 'why'?
In short: Choosing a research methodology is often framed as a competition between numbers and words. In reality, the choice depends on whether you are trying to prove a theory or discover one. Understanding the inductive and deductive nature of these methods is the first step toward high-quality scholarship.
The distinction between qualitative and quantitative research is often oversimplified as a choice between words and numbers. While quantitative research is objective and focuses on measuring variables, assessing relationships, and testing existing hypotheses, qualitative research is subjective. It aims to explore perceptions, feelings, and ideas to build a rich picture of complex situations from the ground up.
These two approaches operate on different logical pathways. Qualitative research is inductive, meaning it builds theories and hypotheses based on gathered observations. Conversely, quantitative research is deductive, starting from an established theory and testing it empirically. For instance, when studying laundry detergent, a qualitative study might use focus groups to explore which attributes people value, while a quantitative study would measure the specific percentage of people who prioritize price across different demographics.
Mixed methods research bridges this gap by combining both data types. This can happen in two ways: qualitative work can explore a situation to develop hypotheses that are later tested quantitatively, or quantitative data can provide the 'what' (the big picture) while qualitative data explains the 'why' (the underlying reasons). The goal is not to pick a winner, but to use the right tool for the specific research aim.
When selecting a methodology, researchers must balance three factors: the research aims, disciplinary norms, and practical constraints. Exploratory aims typically lean toward qualitative methods, while confirmatory aims favor quantitative approaches. However, researchers should avoid 'following the herd' blindly. Instead, they should evaluate the merits of existing techniques in their specific context, considering constraints like data access, time, funding, and required software or equipment.
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- Summary by Intellect · source: Qualitative vs Quantitative vs Mixed Methods Research: How To Choose Research Methodology
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