Inductive+content+analysis+(thematic+analysis)+on+interview+transcripts

=Section 3: Use of inductive content analysis (thematic analysis) on interview transcripts=

-When analyzing quantitative data, it is important to identify key themes, concepts and categories – **thematic analysis** -**Coding** – finding specific categories in data material -First, **descriptive labels** are given to distinct occurrences of phenomena -Gradual emergence of low-level categories (integrated into meaningful units later, so that they can be relevant as a whole) and higher-level categories -This integration of the data allows for insightful categorization of information, promoting the generation of new theory -Not the same as content analysis, which identifies categories before data is collected -Categories come first here, because they are based on **grounded theory**


 * Interpretative phenomenological analysis (IPA)**

-Goal – gain insight as to how an individual person perceives and explains a particular event around them -Data comes from **qualitative sources** Semi-structured interviews Focus groups Diaries Narrative interviews -IPA takes an **inductive approach** – supports view that theory can emerge from the data itself Why use IPA? -Allows the researcher to gain an insider’s view of how individual participants see the world -Increasingly being used in studies because it is based on the same ideas of thematic analysis and organization as grounded theory is -Data collection and theory don’t have to be based on existing theory or prior assumptions -Texts such as interviews, transcripts, etc. are studied in detail in order to extract themes relevant to the question at hand Analytic strategy in IPA – working with transcripts -**Reading and rereading of the transcripts** – this helps the researcher become familiar with each participant’s version/explanation Take notes on initial observations such as key phrases, contradictions, language use, etc that could be useful for analysis Note comments on left-hand margin of the text (suggestion) -I**dentification of emergent themes** that seem to jump out of the text; should capture some essential idea about what is being said or studied -Notes on right-hand margin: “Raw Data Themes” -Researcher may possibly use psychological terms to describe observations at this point -**Structuring emergent themes** – after listing the emergent themes, the researcher may see if they relate to each other somehow (clusters, hierarchies, etc). -Labels given to individual clusters -Can be in vivo terms used by participants, quotes, or descriptive labels -Make sure that labels make sense, because these clusters are important to repeatedly refer back to in order to make sure that the interpretation is supported by the data
 * -Summary table of the structured themes and relevant quotations that illustrate each theme**

-Should only include themes/categories that capture the essentials of the participant’s perspective; exclude other themes

-Includes data under an organizational scheme with “subordinate theme labels” important quotes, and detailed references to the location of relevant excerpts in the interview transcript


 * Data saturation** – data is analyzed until no new information can be found