Qualitative research aims to explore how people interpret and make sense of their experiences and social worlds. It uses data such as interviews, observations and documents, which are analysed interpretively rather than through purely numerical statistics. The focus is on depth, context and multiple perspectives rather than on generalisable numerical patterns. Hence, research emphasising meanings and rich textual data is correctly termed qualitative research.
Option A:
Option A, qualitative research, typically employs methods like in-depth interviews, focus groups and field observations to capture nuanced experiences. It allows for flexible designs where concepts and theories may emerge from the data. These characteristics match the stemβs emphasis on meanings and social processes, making this option appropriate.
Option B:
Quantitative research, by contrast, concentrates on numerical measurement and statistical analysis and often uses structured instruments. It does not primarily seek thick description of meanings and experiences, so it is not the correct completion.
Option C:
Experimental research is defined by manipulation and control of variables to test causal hypotheses; it can be either quantitative or qualitative in some aspects but is not defined solely by textual data and meaning. Thus, it does not fit the stem.
Option D:
Survey research usually refers to large-scale structured data collection using questionnaires, commonly associated with quantitative analysis, so it is not the best match for the description of rich, textual data.
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