Common Challenges

Content analysis is a time intensive method that requires quite a bit of decision-making on the part of the researcher.  What sample size should I have?  What do I code for?  How many coders do I need?  These are some common issues associated with content analysis that are, in many ways, unique to this method.  We address sampling issues, selection issues, causality issues, and validity/reliability issues in more detail, but the major theme is be systematic.  From sample selection to coding and analysis, it is important that you clearly define rules for your study and then stick to them.  No one study can do everything; all science, including social science, is an iterative process, and knowledge accumulates through the process.  The important thing is to be aware that the analytical decisions you make in your study, what you analyze, when you analyze it, and how you code, have important implications for the conclusions you draw. 

Have other issues or suggestions?  Visit the Virtual Workshop page to discuss them with other members of the Cultural Lab community.