Which of the following is a potential disadvantage of thematic analysis?

• A. It cannot determine cause and effect
• B. It always captures nuanced data
• C. It automatically reveals contradictions
• D. It produces precise statistical generalizations

Answer: (A)

The main idea here is that thematic analysis is a qualitative method used to identify patterns of meaning across a dataset and describe themes in participants’ experiences. A common disadvantage is that it cannot determine cause and effect. Because the approach analyzes what people say and how themes cohere, without manipulating variables or establishing temporal order, it can show relationships or associations but not prove that one factor causes another. To draw causal conclusions, you’d need designs that control variables and test hypotheses, such as experiments or longitudinal studies, often with triangulation and other data sources.

As for the other statements, thematic analysis doesn’t automatically capture every nuance; the depth of nuance depends on how the data are collected, how thoroughly the analysis is conducted, and the researcher’s interpretive work. It also doesn’t automatically reveal contradictions in the data—contradictions can be identified and discussed, but that requires careful analysis rather than an automatic feature of the method. And it doesn’t produce precise statistical generalizations, since it’s a qualitative approach focused on themes and meanings rather than exact numerical summaries.