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Methods of qualitative data analysis

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Title: Methods of qualitative data analysis


1
Methods of qualitative data analysis
  • Module 1 Course
  • Session 4

2
"What do we do with these disorderly piles of
data?" (Lewis 1991)
  • Reducing the discursive data to manageable
    proportions?
  • Distilling the meaning from the qualitative
    interviews?
  • Requirement Being systematic!
  • for exhaustiveness (nothing left out)
  • for credibility (no bias)

3
We need methods for
  • Organizing the interview text (manageability)
  • Analysing the manifest meanings ('essence')
  • Interpreting latent meanings (beneath the
    surface)
  • No magical tool just hard work!

4
Transcribing interviews
  • Different practices academic vs. commercial
    research
  • Transcribe in toto all utterances, verbatim,
    indicate 'circumstances of the utterance
    (laughter, irony, gesture, facial)
  • The best way to defeat faulty first impressions
  • Go back to the tapes a more faithful rendering
    of what was said and how

5
We don't start from scratch!(as in radical
grounded theory)
  • "The central task of interview analysis rests
    with the researcher, with the thematic questions
    he or she has asked from the start of the
    investigation and followed up through designing,
    interviewing, and transcribing." (Kvale, 187)
  • Start with the themes of the interview guide!
  • (Researching Audiences Box 9.2 and 9.4)

6
The pervasiveness of interpretation 1
  • 'analysis' vs. 'interpretation' a positivist
    misconception interpretation is not an isolated
    stage! BUT
  • Kvale pragmatically distinguishes surface
    'analytical' operations from deeper kinds of
    'interpretative' operations (188,193, 201)
  • ANALYSIS text reduction, manifest meanings, what
    is directly said, more objective
  • INTERPRETATION text expansion, deeper
    dimensions, meanings not apparent, more
    speculative

7
The pervasiveness of interpretation 2
  • - also the lesson from the Chinese Boxes model
  • The outer box The meaning construction process
    goes on making sense of/interpreting/decoding
    the transcript.
  • Two dimensions to analyse
  • 1. Language representing social reality, talking
    about the world
  • 2. Language as patterns of interaction,
    turn-taking, co-production of meaning,
    negotiation of agreement.

8

9
5 approaches to interview analysis
  • Meaning condensation one looks for the natural
    meaning units in the interview (e.g. a couple of
    paragraphs) and rephrases them as a 'theme'. (Ex.
    Kvale p.195)
  • little interpretation involved - the analyst
    tries phenomenologically - to be the
    informants mouthpiece (Kvale p. 196).
  • Corp.ad. study articulating the essence of an
    informant's experience of one ad

10
  • Categorization the analyst codes aspects of the
    interview text into a small number of dimensions
    or categories "This experience is X or Y or Z".
    On the road to quantification.
  • Corp.ad study This experience of ad A is
    category Symp/Agn/Cyn.
  • Narrative analysis registers stories told during
    interviews plot, good versus bad, the point of
    the narrative. Or analyst creates a coherent
    story out of the many happenings reported
    throughout an interview
  • Corp.ad study Not used.

11
  • Interpretation analyst looks for latent
    meanings, beyond a structuring of the manifest
    meanings to deeper and more or less speculative
    interpretations.
  • inferential meanings "profits cut dramatically"
    (Res.Aud. 168).
  • everyday metaphors "add a bit of spice", "just
    myself again" (Res.Aud. 167)

12
  • Ad Hoc meaning generation
  • Using different approaches and techniques for
    meaning generation (e.g. the previous 4)
  • "free interplay of techniques"
  • No standard method
  • "We believe that to use any one interpretive tool
    is insufficient to deal with the richness of the
    interview data. () we recommend the ad hoc
    procedure, as long as it remains systematically
    structured and does not become idiosyncratic and
    impressionistic" (Res.Aud. p. 166 )

13
Benefits of 'categorization'
  • Potentially provides an overview over the
    meanings experienced by the informant (Kvale
    fig.11.3, p. 198).
  • Corp.ad study 1. Constructing each informant as
    an 'aggregate' category of Sym/Agn/Cyn. 2.
    Constructing a map for positioning informants in
    landscape of intersecting Sym/Agn/Cyn
    territories.
  • Provides a basis for determining typicality of
    each informant.
  • Potentially enables social differentiation
    between informants (level of education).
  • Potentially enables comparisons (DK vs. UK)

14
Limitations of 'categorization'
  • Reduction of complexity
  • Rendering ambivalences invisible

15
Control of analysis Credibility, quality,
craftmanship?
  • Did other eyes see the same?
  • Intercoder reliability/Multiple interpreters
  • procedures for coding agreement.
  • Interviewer reliability different interview
    styles
  • Would other eyes see the same? (yours!)
  • Documentation through procedural explicitness
    and extensive transcript excerpts.

16
What reliability is all about- when more than
one interpretation is possible
  • "The chief point to be remembered with this type
    of research is not so much whether another
    position with respect to the data could be
    adopted (), but whether a reader, adopting the
    same viewpoint as articulated by the researcher,
    can also see what the researcher saw, whether or
    not he agrees with it. That is the key criterion
    for qualitative research."
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