LU 4 Analysis and Presenting Qualitative Data

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Last updated 2:10 PM on 6/16/26
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12 Terms

1
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What are the four steps/ key features to analyse qualitative data ?

  • reducing the raw data to something more manageable (requires reading and re-reading of the data)

  • filtering the important ideas out from the less significant (noting which issues occur the most times within interviews)

  • identifying important themes

  • constructing a theory/ hypothesis or narrative account of the analysis

2
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What are the different types of qualitative analysis methods ?

  • thematic analysis

  • template analysis

  • content analysis

  • document analysis

  • discourse analysis

  • narrative analysis

3
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What is thematic analysis ?

  • widely used in qualitative methods

  • help researcher to identify patterns of meaning across dataset that provide answer to the research question

4
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What is content analysis and what are its basic methods ?

  • to determine the presence of certain words within texts or set of texts

  • basic method : conceptual analysis and relational analysis

5
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What is document analysis ?

  • documents are interpreted by the researcher to give voice and meaning around an assessment topic

  • primary types of documents : public records, personal documents, physical evidence

6
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What is narrative analysis ?

  • take the story as the investigative focus

7
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What is template analysis (Nigel King’s)

  • refers to a particularly way of thematically analysing qualitative data

8
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What is discourse analysis ?

  • the study of social life, understood through analysis of language in its widest sense

9
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What are the methods of data analysis ?

  • manual : very near to your data, know your data well, satisfying data

  • software : Nvivo, MAXQDA

10
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How should presentation of analysed qualitative data be done ?

the presentation should strike between descriptive and interpretive

11
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What are the ways of organizing and presenting data analysis ?

  1. by groups (themes, patterns and similarities)

  2. individuals

  3. issue or themes

  4. research questions

  5. instruments

  6. writing up qualitative data by one or more

  7. constructing a narrative that may be in the form of technology

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How to ensure the trustworthiness of qualitative research ?

  • the importance of fit ( the themes should fit the data)

  • integration of theory

  • reflexivity (the role of researcher in the process is accounted for in the paper)

  • documentation

  • theoretical sampling and negative case analysis

  • sensitivity to negotiated realities (the researcher shows awareness of the context within the process)

  • transferability (realistic suggestions about the application of the research findings)