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PYB210 > 12. Quality of Qualitative Research Data Analysis in Qualitative Research > Flashcards

12. Quality of Qualitative Research Data Analysis in Qualitative Research Flashcards

1
Q

what is validity

A

truthfulness or correctness of the inferences that are or can be made from the results

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2
Q

what is constrict validity

A

how well the operationalisation of higher-order constructs was completed

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3
Q

internal validity

A

how well causality was found

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4
Q

external validity

A

the transferability to the general population of results

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5
Q

what is reliability

A

consistency of stability of the measure

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6
Q

objectivity

A

attempt to minimise or eliminate bias or option in the conduct of research

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7
Q

what are the elements or rigour qualitative research

A

credible accurate or authentic
confirmable, authoritative or neutral
transferrable or applicable
dependable or consistent

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8
Q

credible, accurate or authentic

A

presenting participant’s multiple realities in a manner that ‘rings true’ to others who have similar beliefs

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9
Q

confirmable, authroitative, or neutral

A

findings are a product of participant’s data, not hte perspectives of the researcher

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10
Q

transferrable or applicable

A

applicability of findings to other contexts or settings

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11
Q

dependable or consistent

A

findings can be repeated if conducted with the same participants or in similar settings, explaining and tracking variability and embracing anomalous data

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12
Q

what is auditing

A

procedural dependability

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13
Q

what is methodological rigour

A

procedural dependability
congruence between phenomenon, theory, models
appropriateness and adequacy of sampling techniques, data collection methods, reporting
transparency of data collection, analysis and interpretation to various audiences (including participants)

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14
Q

what is interpretative rigour?

A

authenticity, validity, reliability, credibility of the data
plausibility, originality and value of the developed theory
coherence of interpretation
typicality of findings, interpretation of anomalous dta
transparency and reflective of the researcher’s actions and interprtations

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15
Q

hat are the three things that are involved in theory building

A

apprenticeship
innovation
scholarship

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16
Q

apprenticeship

A

existing knowledge

17
Q

innovation

A

novelty and relevance

18
Q

scholarship

A

rhetorical, methodological skills

19
Q

what can rigour be demonstrated through>

A

design and methods
coding and analysis
reflexivity

20
Q

what is involved in design and method when demonstrating rigour

A

congruence between phenomenon, theory and methods
triangulation
demonstrating situation in sampling
prolonged and varied engagement
persistent observation
clear and explicit account of data collection methods - audit trail (including research diary)

21
Q

what is involved in coding and analysis when demonstrating rigour?

A 
peer debriefing
respondent or communication validation
deviant/negative case analysis
triangulation
providing verbatim transcriptions
providing thick descriptions
demonstrating saturation in analysis
clear and explicitly account of steps and principles of analysis
22
Q

what is involved in reflexivity when demonstrating rigour?

A

acknowledge and embrace personal bias: name and understand

ensure that participant’s view drive the findings

23
Q

what can be done to ensure that the participant’s view drive the findings?

A 
attitude of strangeness
reflexivity
giving voice to participants
self-criticism
creativity
sensitivity
24
Q

what is the aim of qualitative data analysis?

A

to discover essence and then to reveal those essences with sufficient context, you not become mired trying to include everything that might possibly be described

25
Q

what can data analysis be?

A

interactive or fixed

26
Q

coding

A

a process of labelling and categorizing data as a first step in the analysis

27
Q

what is coding oriented on

A

developing concepts which can be used for labelling, sorting and comparing excerpts of the data and alter for allocating further excerpts to the developing coding system

28
Q

what principles does coding usually follow?

A

principles of constant comparative method

29
Q

what is coding a preparatory step for>

A

accessing the data and making them ready for interpretation

30
Q

what is interpretation?

A

means to understand the internal logic of an excerpt of the data or to put into context

31
Q

what is the aim of interpretation?

A

make sense of the data, to make it meaningful

32
Q

how is data presented?

A

according to themes
interpretation of themes
quotations in their interaction context

33
Q

what does qualitative presenting and reporting alloqing engagement with

A

interpretation provided

34
Q

what is the interpretation of themes?

A

more than just a label / description and couple of quotes to illustrate

PYB210 (11 decks)

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