Content analysis and thematic analysis are two widely used methods of qualitative data analysis in research . While they can be used for similar data sets, there are distinct differences between the two methods.
Content analysis is a systematic approach to analyzing the content of text-based data. This method involves organizing and categorizing data into specific codes or categories based on predetermined criteria. Content analysis can be either quantitative or qualitative, but it is commonly used for quantitative research. The aim is to identify and quantify patterns, themes, or trends in a large amount of data.
On the other hand, thematic analysis is a method of analyzing qualitative data. This method involves identifying and analyzing patterns or themes that emerge from the data itself. Unlike content analysis, thematic analysis does not rely on predetermined categories and codes. It is a more flexible and inductive approach to data analysis, allowing themes to emerge directly from the data. Thematic analysis is a more interpretive and nuanced approach to data analysis, with a greater emphasis on the context in which the data was produced.
Overall, the main difference between content analysis and thematic analysis is that content analysis is more focused on quantifying patterns and trends in data , while thematic analysis is more focused on understanding the meaning and context of the data.
Within qualitative research, content analysis typically uses a deductively generated (i.e., pre-determined) codebook, which then emphasizes counting codes. Another alternative is a "hybrid" approach that begins with a set of prior codes and then adds to them with inductively developed codes during the analysis process (Fereday & Muir-Cochrane, 2006).
For thematic analysis, Braun and Clark refer to three different forms, two of which are closer to content analysis. Their own preferred approach is Reflexive Thematic Analysis, which they discuss in detail in their book, Thematic Analysis: A Practical Guide.