Indirectly studying/observing human behaviour through things we produce (books, TV ads, newspaper)
Content analysis limitations
Deciding on categories and quotations can be subjective therefore researcher bias
Difficult to decide whether statement or example fits into particular categories therefore inaccuracies with categories
People studied indirectly outside of the context that it occurred therefore unjustified assumptions on original speaker/writer's intentions
Categories may not reflect reality therefore meaningless results therefore low mundane realism and low external validity
Content analysis strengths
Unobtrusive - indirect study therefore can avoid ethical violations
Deals with secondary data therefore ethical issues are minimised, low cost and material already in public domain
Allows for quantitative/qualitative research therefore is flexible
Qualitative into quantitative data therefore can be used for inferential statistics
Content analysis: coding
First stage in which large data sets are categorised into meaningful units to produce quantitative data. eg: counting number of times (event sampling) a word or phrase appears