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SOCI 3P02 Lecture Notes - Barney Glaser, Qualitative Research, Content Analysis

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Sara Cumming

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Qualitative data analysis challenges
- Textual
o Transcripts, field notes, documents, video, pictures
- Cumbersome
o Impossible to remember everything inside of it
- Guidelines
- On-going
o Need to connect the cases to eachother
o Show wider significance
o How it relates
- Not mechanical
o Analysis is ongoing
Content analysis
- Inferences via systematic coding
- Technique for making inferences by systematically coding information
- Can be done to any type of data, including interview trandscripts, videos
- Counting and categorizing
o Count the amount something occurs
- Distinguish levels of content
o Manifest
Literal or surface meaning within the content
E.g. if you use this toothpaste you’ll get white teeth
o Latent
Deep and abstract meaning
E.g white teeth gives you sex appeal
Applying content analysis
- What aspects of the dvision of household labour interest you?
- How prevalent are those aspects in the data?
o E.g. gender? Culture? Paid work? Time availability?
o What are you going to pay attention to? E.g. what do women do, what do men do
- Its not just about counting who has traditional labour (numbers don’t matter)
o Goal is to develop the meaning behind it and develop interesting categories and
patterns that emerge
- Just the preliminary findings
Grounded theory
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