thematic analysis is a method for identifying, analysing and reporting patterns within data. it minimally organises and describes your data in rich detail. It also interprets various aspects of the research topic
thematic analysis suits research questions relating to :
peoples experiences
peoples views and perceptions
understanding and representation
construction of meaning
reflexive thematic anaysis
inductive
familiarisation - coding - theme development
thematic analysis closer to a method than a methodology
reflexic thematic analysis - flexible
not tied to a particular framework, so TA can be conducted in a number of different ways:
inductive or deductive coding and analysis
an experimental or critical orientation to data
a realist, contextualist or constructionist theoretical perspective
the importance of reflexivity
the theoretical flexibility of TA means that reflexivity is crucial to the successful implementation of TA
the researcher makes active choices
the research reflects on the assumptions underpinning their reading of data
be wary of unacknowledged assumptions
themes dont passively emerge from the data
six phases of thematic analysis
familiarisation with the data
coding the data
generating initial themes
reviewing and developing themes
refining, defining and naming themes
producing the report
semantic codes capture the surface meaning of the data
latent codes capture the assumptions underpinning the surface meanings or use pre-existing theories and concepts to interpret the data