One of the most widely used strategies for analyzing qualitative data is
A) cross case analysis.
B) constant comparison.
C) causal comparison.
D) deviant analysis

Question

Quizplus · Accepted Answer

Constant comparison is a widely used and well-established strategy for analyzing qualitative data, particularly in grounded theory methodology. The idea behind constant comparison is that the researcher continually compares new data to previously analyzed data in order to develop categories and themes that emerge from the data. This process helps to ensure that the categories and themes are grounded in the data, rather than being imposed by the researcher. Cross case analysis involves comparing cases or instances of a phenomenon, and is often used to identify patterns or commonalities across cases. Causal comparison involves comparing different causal mechanisms or factors that contribute to a phenomenon. Deviant analysis involves analyzing cases or instances that are in some way unusual, unexpected, or divergent from the norm. While these strategies may also be useful for analyzing qualitative data, constant comparison is typically considered the most fundamental and widely used approach.

One of the Most Widely Used Strategies for Analyzing Qualitative