Week 7 Lecture: Qualitative Data Analysis Flashcards

1
Q

Theoretical frameworks

=, –>,1

A

= what underpins how you see world –> influences data collection and analysis
- all research is bound by theoretical framework –> bias

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2
Q

Theoretical Sampling

=, 2

A

= analysing in terms of patterns of response, iterative and simultaneous data collection and analysis
- Induction = idea –> proposition –> works/not to explain event, strategy, action, relationship
- Deduction + verification = testing propositions, finding accounts/data that support/contradict understandings of data

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3
Q

First stage of analysis

=

A

= asking the question (analyse what is important enough to ask about)

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4
Q

Interactive Process of Data Analysis

8

A
  1. Data collection
  2. data display
  3. reflection on data
  4. data coding
  5. data distillation (reduction)
  6. generation of themes
  7. story interpretation
  8. research conclusions
    all interact, go between them etc.
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5
Q

Qualitative units of analysis

7

A
  • meanings
  • practices
  • encounters
  • narrative structures
  • organisations
  • lifestyles
  • utterances (words, phrases etc.)
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6
Q

CAQDAS

=, 4

A

= Computer Assisted Qualitative Data Analysis Software
- enter transcripts –> create categories –> organise
- does data management not analysis
- use when lots of data
- lose interview narrative and focus of participant

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7
Q

Visually displaying qualitative findings

5

A
  • comparison table/matrix
  • hierarchical tree diagram (themes and connections): trunk is key code, branches subcodes
    • e.g. code is ethnicity in …., subcodes = ethnic groupings
  • boxes (connections between themes)
  • physical layout of setting
  • personal or demographic info for each person or site
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8
Q

Modes of Qualitative Data Analysis

4

A
  • content analysis = search for a priori categories, focus on frequency and researchers’ categories
  • thematic analysis = identifies emergent categories via themes, privileges authoria; view of category importance
  • semiotic analysis = interpretation of language through examination of explicit and implicit messages
  • discourse analysis = interpretation of entire systems of communication
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9
Q

Content analysis

=

A

= search for a priori categories, focus on frequency and researchers’ categories

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10
Q

Thematic analysis/Grounded theory

=, 3, 2, ()()

A

= identifies emergent categories via themes (create categories based on what ppl say)
- privileges authorial view of category importance
- develop theories grounded in data
- Strategies: theoretical sampling, constant comparison
(Glaser and Strauss, 1968) (Strauss and Corbin, 1990)

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11
Q

Open Coding

=

A

= through reading entire transcript, identifying, naming, categorising (mutually exclusive) and describing concepts and patterns

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12
Q

“in vivo” coding

=, 1

A

= use respondents words as concept/code (emic perspective)
- preferred

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13
Q

Steps of Coding Data in Thematic analysis/Grounded theory

5

A
  1. Open coding
  2. Clustering
  3. Axial coding
  4. Selective coding
  5. Saturation
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14
Q

Clustering

=

A

= cluster similar codes and exclude redundant codes to reduce number while maintaining meaning

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15
Q

Axial coding

=, 2

A

= identify themes by finding categories that cut across data sets
- connect categories and sub categories to put data back together
- split or merge categories

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16
Q

Selective coding

=

A

= unifying codes around a core concept/overarching theme to answer question/develeop theory

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17
Q

Saturation

=, 1

A

= little/no new data and no new data fit into developed categories
- coding and analysis occurs until saturation

18
Q

Preliminary Organising Scheme

=

A

= 5-7 themes or descriptions (groups of similar codes) to form major idea, identified by constantly comparing data

19
Q

Constant Comparative Analysis

=

A

= constantly comparing data to find themes –> evolve into theoretical framework –> guides data collection

20
Q

Deviant Case Analysis

=, 1

A

= analysing elements of data that appear to contradict emerging patterns (from data analysis) to refine analysis until account for majority of cases
- revise, broaden or confirm data analysis patterns

21
Q

Negative case analysis

=

A

= identify cases that don’t fit emerging theory

22
Q

Semiotic Analysis

=

A

= interpretation of language through examining implicit and explicit messages (semiotics = symbols)
- assumption that surface signs relate to underlying structure
- assumption of underlying structure

23
Q

Eco (1976) claims about semiotics

2

A

“semiotics studies all cultural processes as processes of communication”
“whole of culture should be studied as a communication phenomenon based on signification systems”

24
Q

Signifier

=

A

= thing that points to underlying meaning

25
Q

Signified

=

A

= meaning being pointed to (by signifier)

26
Q

Denotative meaning

=

A

= obvious (manifest) meaning

27
Q

Connotative meaning

=

A

= meaning from social context, in addition to denotative

28
Q

Polysemy

=

A

= signs being open to multiple interpretations

29
Q

Code

=

A

= generalised meaning instilled in a sign = sign system

30
Q

Discourse Analysis

=, 2

A

= interpretation of entire systems of communication
- focus on language as social practice, how individuals use language in specific social contexts to construct selves and surrounding world
- discourse as constructing or reflecting meaning

31
Q

Doing discourse analysis

5

A
  1. Identify interpretive repetoires = shared ways of talking about world
  2. Identify regulatory social constructs
  3. Consistency in discourse –> indicates particular repertoire (not underlying reality)
  4. Discourse confirmed by use in other texts
  5. Illustrate dominance in specific context
32
Q

Framing of issues

=

A

= construction of language (inclusions and exclusions) to suit purpose

33
Q

Data Analysis in Participant Observation Studies

5

A
  • difficult to interpret
  • analyse convo not individual speakers
  • how decide which observations significant?
  • in social group: cant observe all at once –> who to observe and when
34
Q

Types of Triangulation

A
  • Data triangulation = multiple data source types –> different perspectives
  • Theory triangulation = multiple theoretical perspectives –> interpret single data set
  • Investigator triangulation = multiple researchers interpret data
  • Methodological triangulation = multiple methods –> study single problem
35
Q

Data triangulation

=

A

= multiple data source types –> different perspectives

36
Q

Theory triangulation

=

A

= multiple theoretical perspectives –> interpret single data set

37
Q

Investigator triangulation

=

A

= multiple researchers interpret data

38
Q

Methodological triangulation

=

A

= multiple methods –> study single problem

39
Q

Enhancing trustworthiness in qual studies

4

A
  • member checking = verifying interpretation with participants
  • return of transcript for review
  • provisiding of analysis conclusions
  • triangulation
40
Q

Member checking

=

A

= verifying interpretations with participants

41
Q

Constructing narrative in qual

7

A
  • identify dialogu that supports themes
  • look for dialogue in participant dialect
  • use metaphors and analogies
  • collect quotes
  • find multiple perspectives and contrary evidence
  • look for vivid detail
  • identify tensions and contradictions in individual experiences