Methods such as in-depth interviews, focus groups, and participant observation generate non-numerical data like words, images, and observations. This approach values objectivity, aiming to minimize researcher bias through standardized procedures and large sample sizes.
Qualitative vs Quantitative Research: Key Differences Explained
The goal is often to test hypotheses, generalize results from a sample to a larger population, and establish patterns of behavior that are statistically significant. Data Collection and Analysis Data collection methods are inherently tied to the research question.
Defining the Qualitative Approach In contrast, qualitative research is concerned with understanding the why and how of human decision-making. A marketing team seeking to measure customer satisfaction across a national market will likely lean toward quantitative surveys to obtain statistically valid results.
Qualitative vs Quantitative Research: Key Differences in Methods and Goals
The analytical tools differ significantly, with one seeking statistical correlation and the other seeking thematic saturation. Quantitative designs are often structured and rigid, relying on surveys, experiments, and existing data to test specific variables.
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