What type of analysis is typically inductive in qualitative research?

In qualitative research, reflective analysis is often characterized as being inductive. This type of analysis involves interpreting qualitative data to generate theories or insights based on patterns, themes, and meanings that emerge from the data itself, rather than testing pre-conceived hypotheses. Reflective analysis encourages researchers to think deeply about their findings, allowing multiple perspectives to be considered and new insights to arise organically from the data. This aligns with inductive reasoning, where conclusions and theories are formed based on observations rather than starting with a theory to test.

In contrast, statistical analysis relies heavily on quantifying data and testing predetermined hypotheses, making it more deductive. Deductive analysis specifically involves starting with a theory and seeking evidence to support or refute it. Comparative analysis may involve both deductive and inductive methods but does not inherently embrace inductiveness the way reflective analysis does. Thus, reflective analysis stands out as the prime example of inductive thinking in qualitative research.