Qualitative Data Analysis Flashcards

1
Q

Goal or need of qual data analysis

A
  • to classify, compare, weigh and combine
  • to describe - understand and explain
  • find patterns
  • empirical and theoretical conclusions
  • to place in a coherent narrative
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2
Q

10 principles of data analysis

A
  1. cyclical - together with data collection
  2. systematic - validity, saturation
  3. reflexive - memo’s, thinking, emotions
  4. segmentation - data divided in segments
  5. coding - segments are labelled with codes
  6. constant comparison - contrast, patterns
  7. flexible - fragments and code change
  8. eclectic - no single method or fixed formula
  9. intellectual craftship/competences - skills
  10. synthesis - abstraction, combination, data and theory
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3
Q

4 phases of data analysis

A
  1. decision on type of data analysis - inductive, deductive, grounded theory
  2. data organisation and classification - caqdas, nvivo, atlas.ti
  3. connection between different categories and pieces of data
  4. reporting
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4
Q

How to get to know your data?

A
  • read, read and read again
  • transcript - familiarization and reflection
  • transparency regarding strategies to improve
  • reliability and validity
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5
Q

Grounded theory approach

A
  • analytical induction - data to theory
  • cyclical - data collection and analysis
  • constant comparison
  • theoretical sensitivity - skill
  • sensitizing concepts - a priori code
  • deconstructing and reconstructing
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6
Q

Provisional code list

A

A provisional code list is an initial set of codes created to categorize and organize data during qualitative research, which can be refined and expanded as the analysis progresses.

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7
Q

Steps text segmentation and open coding

A
  1. identify fragments
  2. segment - logical unit
  3. apply/attach codes to each segment
    - each fragment can have more than one code
    - concepts and topics are more
    - not all segments receive a code
  4. memoing - fieldnotes, coding
  5. codes well defined and specified
  6. overlapping codes - improve and or fuse
  7. corrections - improved provisional code list
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8
Q

definitive code list and inductive coding

A

2nd round after text segmentation and open coding
add new codes only from text
main and follow-up questions
contrast, comparing, new concepts found

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9
Q

Code structures/networks

A

Code structures/networks are organized systems that display relationships between different codes in qualitative research, helping to illustrate patterns and connections within the data.

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10
Q

Beyond coding

A

make and remake typologies
visualize models
further empirical and theoretical conclusions
compare your data

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