Chapter 22 Qualitative data analysis Flashcards

1
Q

What are the 2 strategies for qualitative analysis?

A

Analytical Induction and Grounded Theory

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2
Q

What is a general strategy for qualitative data analysis?

A

a framework that is meant to guide the analysis of data

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3
Q

Iterative

A

there is a repetitive interplay between the collection and analysis of data

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4
Q

What is analytical induction?

A

an approach to the analysis of data in which the researcher seeks universal explanations of phenomena by pursuing the collection of data until no cases that are inconsistent with a hypothetical explanation (deviant or negative cases) of a phenomenon are found.

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5
Q

What do you do if a qualitative case is deviant and does not confirm the hypothetical explanation?

A

you either 1. Redefine the hypothesis so as to exclude the deviant or negative case, or 2. Reformulate the hypothesis and proceeds with further data collection

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6
Q

Why is analytical induction a rigorous method of analysis?

A

because if even a single case is inconsistent with a hypothesis it sufficient enough to reformulate the hypothesis and proceed with further data collection. And the selection of cases must be sufficiently diverse as to have adequately challenged the theory.

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7
Q

What are 2 other problems with analytic induction?

A
  1. The specified conditions of the theory are only sufficient, rarely necessary.
  2. It does not provide useful guidelines as to how many cases are needed before the absence of negative cases and the validity of the hypothetical explanation can be confirmed
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8
Q

What is grounded theory?

A

theory that is derived from data, systematically gathered and analysed through the research process. In this method, data collection, analysis, and eventual theory stand in close relationship to one another

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9
Q

What is coding?

A

When data are broken down into component parts, which are given names

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10
Q

constant comparison

A

a process of maintaining a close connection between data and conceptualization, so that the correspondence between concepts and categories with their indicators is not lost

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11
Q

What are the three types of coding practice?

A
  • open coding
  • axial coding
  • selective coding
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12
Q

Open coding

A

the process of breaking down, examining, comparing, conceptualizing and categorizing data

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13
Q

Axial coding

A

a set of procedures whereby data are put back together in new ways after open coding, by making connections between categories

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14
Q

Selective coding

A

the procedure of selecting the core category, systematically relating it to other categories, validating those relationships, and filling in categories that need further refinement and development

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15
Q

Concept

A

labels given to discrete phenomena

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16
Q

Category

A

a concept that has been elaborated so that it is regarded as representing real-world phenomena

17
Q

Properties

A

attributes or aspects of a category

18
Q

Theory

A

a set of well-developed categories (…) that are
systematically related through statements of relationship to form a theoretical framework that explains some relevant social (…) or other phenomenon

19
Q

Substantive theory

A

relates to theory in a certain empirical instance or substantive area, such as occupational socialization

20
Q

Formal theory

A

higher level of abstraction and has a wider range of applicability to several substantive areas, such as socialization in a number of spheres, suggesting that higher-level processes are at work. Requires data collection In contrasting settings

21
Q

What are “memos” in grounded theory?

A

notes that researchers might write for themselves and for those with whom they work concerning such elements of grounded theory as coding or concepts.

22
Q

What is grounded theory particularly good at?

A
  • capturing complexity
  • linking with practice
  • Facilitating theoretical work in substantive areas that have not been well researched by others.
  • Putting life into well-established fields
23
Q

What are the important steps and considerations in coding?

A

1- code as soon as possible
2- read through initial set of transcripts, field notes, documents, etc.
3- do it again
4- review your codes
5- Consider more general theoretical ideas in relation to codes and data
6- Do not worry about generating what seem to be too many codes (in early stages)
7- keep coding in perspective

24
Q

Problems with coding?

A
  • losing context of what is said
  • it results in a fragmentation of data, so that the narrative flow of what people say is lost
25
Q

What are some issues with secondary use of qualitative data?

A
  • the difficulty of making settings and people anonymous
  • the ethical problems associated with promises of confidentiality
  • secondary analyst’s lack of an insider’s understanding of the social context within which the data were produced