week 8 Flashcards

1
Q

whats transcribing interviews

A

“written record of an interview that has been transcribed from the verbal conversation”

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2
Q

benefits of transcribing interviews

A
  • Aids data familiarisation
  • Opportunity to reflect on interviewing style
  • Record emotional expression noted during the interview
  • e.g. where a participant laughs, pauses, sighs or places emphases
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3
Q

whats confidentiality

A
  • Focuses on concealing research participants identity

- Interview transcripts use a pseudonym (false name), change names of organisations, places and other people mentioned

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4
Q

qual data analysis

A

“Analysis entails classifying, comparing, weighing and combining material obtained… to extract the meaning and implications, reveal patterns, or stitch together descriptions of events into a coherent narrative

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5
Q

whats iterative process

A

moving between data collection & analysis

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6
Q

whats inductive

A

looking for patterns or themes in the data rather than imposing ideas onto the data

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7
Q

things for qual analysis

A
  • iterative process
  • inductive
  • make constant comparisions
  • move raw data to codes
  • draw well support conclusiosn
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8
Q

types of qual data analysis

A
  • Content analysis
  • Thematic analysis
  • Discourse analysis
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9
Q

research design own data analysis

A

Each qualitative research design has its own approach to data analysis e.g.

  • Narrative analysis
  • Grounded theory methodology
  • Interpretive phenomenological analysis
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10
Q

whats thematic analysis

A
  • Identifying “themes through careful reading and re-reading of data”
  • “Method for identifying, analysing and reporting patterns (themes) within the data
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11
Q

process of thematic analysis

A
  • Familiarising oneself with the data
  • Breaking the data into codes
  • Grouping similar codes together to form categories with associated sub-categories
  • Define categories and associated sub-categories
  • Group categories together to form themes
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12
Q

steps of thematic analysis

A
  1. Data familiarisation:
    - Undertake an initial quick read of each interview transcript and record initial response to the data (Column 1)
  2. Generating initial codes:
    - Code each interview transcript by writing a summary word or phrase that captures the key idea for each line or sentence within the transcript (Column 2)
    - This requires you to ask to questions of the data
  3. Developing categories & sub-categories
    - Re-read transcripts with initial codes looking for similarities & differences within a single interview and across all interviews.
    - Begin by grouping initial codes together that make sense (e.g. relate to same topic or similar idea) (column 3)
    - Develop a hierarchy system of categories and associated sub-categories Thematic Analysis: Steps for analysis cont.
  4. Generating themes
    - Focuses on examining relationship between each of the categories developed and how they might be grouped to fit under overall theme
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13
Q

tips for coding initial codes

A

Initial codes:

  • Keep codes close to participants words or use participants words (in-vivo codes)
  • Use active language e.g. balancing competing demands
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14
Q

tips for coding sub cateogirs and categories

A
  • Sub-categories must relate to category under which they fall
  • Not all participants will have information that fits into all categories or sub-categories.
  • Participants might having differing views on the same topic, this can help provide a more complete understanding of a subcategory
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15
Q

trust worthiness strategies

A
  • Audit trail
  • Triangulation
  • Member checking
  • Peer review/debriefing
  • Thick description
  • Reflexivity
  • Prolonged engagement
  • Field notes
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16
Q

whats data reduction

A

occurs when raw data are transcribed and transformed into summaries

17
Q

descriptical or open coding

A

initial coding to sort the data in preparation for further analysis

18
Q

focused coding

A

begin working with the codes to start making sense of data

19
Q

axil or interpretive coding

A

: resembling and reorganised the codes for greater abstraction from the data

20
Q

selective coding

A

identification of central or core themes or concepts based on previous stages of coding

21
Q

whats content analysis

A

A form of data analysis used in both qul and quant in which codes are identified before searching for their occurrence in the data

22
Q

the process of coding or data reduction 4 steps quant

A
  1. Designing the code (the rules by which a respondent answers will be assigned values that can be processed by machine)
  2. Coding (the process of turning responses into standard categories)
  3. Data entry (putting the data into computer readable form)
  4. Data cleaning (doing a final check on data file for accuracy, completeness and consistency prior to the onset of analysis)