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

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Flashcards in 12. Quality of Qualitative Research Data Analysis in Qualitative Research Deck (34):
1

what is validity

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

2

what is constrict validity

how well the operationalisation of higher-order constructs was completed

3

internal validity

how well causality was found

4

external validity

the transferability to the general population of results

5

what is reliability

consistency of stability of the measure

6

objectivity

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

7

what are the elements or rigour qualitative research

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

8

credible, accurate or authentic

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

9

confirmable, authroitative, or neutral

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

10

transferrable or applicable

applicability of findings to other contexts or settings

11

dependable or consistent

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

12

what is auditing

procedural dependability

13

what is methodological rigour

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)

14

what is interpretative rigour?

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

15

hat are the three things that are involved in theory building

apprenticeship
innovation
scholarship

16

apprenticeship

existing knowledge

17

innovation

novelty and relevance

18

scholarship

rhetorical, methodological skills

19

what can rigour be demonstrated through>

design and methods
coding and analysis
reflexivity

20

what is involved in design and method when demonstrating rigour

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

what is involved in coding and analysis when demonstrating rigour?

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

what is involved in reflexivity when demonstrating rigour?

acknowledge and embrace personal bias: name and understand
ensure that participant's view drive the findings

23

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

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

24

what is the aim of qualitative data analysis?

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

what can data analysis be?

interactive or fixed

26

coding

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

27

what is coding oriented on

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

what principles does coding usually follow?

principles of constant comparative method

29

what is coding a preparatory step for>

accessing the data and making them ready for interpretation

30

what is interpretation?

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

31

what is the aim of interpretation?

make sense of the data, to make it meaningful

32

how is data presented?

according to themes
interpretation of themes
quotations in their interaction context

33

what does qualitative presenting and reporting alloqing engagement with

interpretation provided

34

what is the interpretation of themes?

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