Which method involves generating theory from data by creating categories in which to place data and then looking for relationships among categories, requiring saturated analysis to extract the fullest local explanatory framework?

Which method involves generating theory from data by creating categories in which to place data and then looking for relationships among categories, requiring saturated analysis to extract the fullest local explanatory framework?

• A. Grounded theory
• B. Thematic analysis
• C. Interpretive Phenomenological Analysis
• D. Action research

Answer: (A)

Generating theory from data by creating categories and then exploring how they relate, with data collection continuing until no new properties emerge, is the essence of grounded theory. In this approach, you gather data—often through interviews or observations—and code it line by line to identify concepts. These concepts are grouped into categories, and you continually compare incidents across the dataset to refine what each category means and how it connects to others. The process uses theoretical sampling to decide what data to collect next based on emerging ideas, aiming to develop a cohesive explanation that accounts for the phenomenon as it genuinely appears in the data. The result is a theory that is said to be grounded in the data, representing the fullest local explanatory framework possible for the situation being studied. Thematic analysis, by contrast, focuses on identifying patterns or themes across the data and doesn’t inherently aim to build a theory about relationships among categories or rely on systematic theory development guided by saturation. Interpretive Phenomenological Analysis centers on deeply understanding how individuals make sense of their lived experiences, usually with small, purposive samples and an emphasis on the individual perspective rather than generating a broader theory. Action research emphasizes collaborative change within a setting, cycling through planning, acting, observing, and reflecting to improve practice, rather than primarily producing a data-grounded theoretical explanation.

Generating theory from data by creating categories and then exploring how they relate, with data collection continuing until no new properties emerge, is the essence of grounded theory. In this approach, you gather data—often through interviews or observations—and code it line by line to identify concepts. These concepts are grouped into categories, and you continually compare incidents across the dataset to refine what each category means and how it connects to others. The process uses theoretical sampling to decide what data to collect next based on emerging ideas, aiming to develop a cohesive explanation that accounts for the phenomenon as it genuinely appears in the data. The result is a theory that is said to be grounded in the data, representing the fullest local explanatory framework possible for the situation being studied.

Thematic analysis, by contrast, focuses on identifying patterns or themes across the data and doesn’t inherently aim to build a theory about relationships among categories or rely on systematic theory development guided by saturation. Interpretive Phenomenological Analysis centers on deeply understanding how individuals make sense of their lived experiences, usually with small, purposive samples and an emphasis on the individual perspective rather than generating a broader theory. Action research emphasizes collaborative change within a setting, cycling through planning, acting, observing, and reflecting to improve practice, rather than primarily producing a data-grounded theoretical explanation.