When should grounded theory be used?

When should grounded theory be used?

• A. When there is no existing theory to explain a phenomenon, or existing theory lacks pre-existing data
• B. When there is abundant existing theory
• C. When you want to perform a randomized trial
• D. When you want to conduct a meta-analysis

Answer: (A)

Grounded theory aims to build a theory from the data itself. It’s most useful when there isn’t an existing theory to explain a phenomenon, or when current theories don’t have enough data to support them. You collect qualitative data (like interviews or observations) and analyze it through coding and constant comparison, letting concepts emerge and then integrating them into a cohesive theory that is truly grounded in participants’ experiences. This approach is ideal for exploring new or under-theorized areas where you want a fresh explanatory framework that fits the data you’ve gathered. It isn’t the right choice if there is abundant theory you simply want to test, nor is it appropriate for quantitative methods like randomized trials or meta-analyses, which address different research questions and use different designs.

Grounded theory aims to build a theory from the data itself. It’s most useful when there isn’t an existing theory to explain a phenomenon, or when current theories don’t have enough data to support them. You collect qualitative data (like interviews or observations) and analyze it through coding and constant comparison, letting concepts emerge and then integrating them into a cohesive theory that is truly grounded in participants’ experiences. This approach is ideal for exploring new or under-theorized areas where you want a fresh explanatory framework that fits the data you’ve gathered. It isn’t the right choice if there is abundant theory you simply want to test, nor is it appropriate for quantitative methods like randomized trials or meta-analyses, which address different research questions and use different designs.