ch 13 Flashcards

1
Q

grounded theory

A

An approach to the analysis of qualitative data in which the goal is to use the data to generate theory; the data collection and analysis proceed in an iterative (recursive) fashion

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2
Q

narrative analysis

A

An approach focused on the search for and analysis of stories that people use to understand their lives and the world around them.
- approach that reduces fragmentation

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3
Q

qualitative data as an “attractive nuisance”

A

attractive because of their richness and the insight that may be gained from them, but also a nuisance because that very richness can create analytical difficulties that are not always acknowledged.

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4
Q

General strategies of qualitative data analysis

A

analytic induction and grounded theory

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5
Q

Basic operations in qualitative data analysis

A

coding and narrative analysis, the latter differing in style from both grounded theory and the secondary analysis of qualitative data

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6
Q

iterative research- qualitative

A

meaning that analysis takes place after some of the data have been collected and then the implications of that analysis shape further data collection

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7
Q

Analytic induction is an example of a type of qualitative research that uses an

A

iterative process

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8
Q

what makes Analytic induction unique

A

universal explanation

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9
Q

If a case inconsistent with the hypothesis is encountered

A

reformulation and redefinition

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10
Q

problem with analytic induction is that (unlike grounded theory) it

A

does not provide useful guidelines on the number of cases required before the absence of negative cases can be assumed and the validity of the hypothetical explanation (whether reformulated or not) can be confirmed.

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11
Q

Cases that are inconsistent with the researcher’s hypothesis in analytic induction are called _______ cases

A

deviant correct

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12
Q

What is reformulated or redefined as a matter of course during the process of analytic induction

A

Hypothesis correct

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13
Q

basic features of grounded theory

A
  • coding
  • constant comaprison
    -theoretical saturation
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14
Q

constant comparison

A

Constant comparison: continuous comparison of new and existing data within a particular concept or category. Glaser and Strauss (1967) advised writing a memo (see page 320) on each concept/category after a few phenomena have been coded. Comparison also entails sensitivity to differences between emerging concepts/categories.

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15
Q

Codes … serve as shorthand devices to

A

label, separate, compile, and organize data

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16
Q

This coding process differs from the coding used in the analysis of quantitative data

A

First, whereas quantitative analysis often involves testing a pre-existing theory, grounded theory uses coding as an important first step in the generation of theory. Second, whereas in quantitative analysis coding is more or less a way of managing data that have already been at least broadly categorized, in grounded theory (and other approaches to qualitative data analysis), coding is more tentative and fluid. The data are treated as potential indicators of concepts/categories, and the indicators are repeatedly compared to see which concepts/categories they fit with best. Ad hoc compromises may have to be made when more than one researcher is doing the coding

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17
Q

three types of coding

A
  1. Open coding: “the process of breaking down, examining, comparing, conceptualizing, and categorizing data” (p. 61); this process stays very close to the data and yields the concepts that are later grouped together to form categories. Thus, concepts such as anger, jealousy, or affection could form the category “emotion.”
  2. Axial coding: “a set of procedures whereby data are put back together in new ways after open coding, by making connections between categories” (p. 96). This is done by linking codes to contexts, consequences, patterns of interaction, and apparent causes. Thus, the category of emotion, above, could be linked to the contexts in which it is expressed: for example, contexts of hardship or loss
  3. Selective coding: “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” (p. 116). A core category is the focus around which other categories are integrated—what Strauss and Corbin called the storyline that frames the account. In the case of hardship and loss, the core category might be “adaptation.
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18
Q

axial coding has been especially controversial because it

A

sometimes perceived as closing off the coding process too quickly

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19
Q

products of different phases of grounded theory

A

Concepts: the “building blocks of theory” (Strauss & Corbin, 1998, p. 101), the discrete phenomena produced through open coding
* Categories: at a higher level of abstraction, subsume two or more concepts. An especially crucial category may become a core category (see Box 13.1).
* Properties: attributes or aspects of a category
* Hypotheses: initial hunches about relationships between concepts
* Theory: “a set of well-developed categories … that are systematically interrelated through statements of relationship to form a theoretical framework that explains some relevant social … or other phenomenon” (Strauss & Corbin, 1998, p. 22). In grounded theory there are two levels of theory: substantive and formal. A substantive theory pertains to a certain empirical instance of a phenomenon such as racial prejudice in a hospital setting (see Box 14.1). A formal theory is at a higher level of abstraction and has applicability to several substantive areas, such as prejudice generally or in a variety of spheres. The generation of formal theory requires data collection in different settings.

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20
Q

Processes and outcomes in grounded theory

A
  • The researcher begins with a general research question (step 1).
  • Relevant people and/or incidents are theoretically sampled (step 2).
  • Relevant data are collected (step 3).
  • Data are coded (step 4), which may, at the level of open coding, generate concepts (step 4a).
  • There is a constant movement backward and forward among the first four steps, so that early coding suggests a need for new data, which leads to theoretical sampling, and so on.
  • Through constant comparison of indicators and concepts (step 5) categories are generated (step 5a). It’s crucial to ensure a fit between indicators and concepts.
  • Categories become saturated in the course of the coding process (step 6).
  • Relationships between categories are explored (step 7) in such a way that hypotheses about connections between categories emerge (step 7a).
  • Further data are collected via theoretical sampling (steps 8 and 9).
  • The collection of data is likely to be governed by the theoretical saturation principle (step 10) and the testing of the emerging hypotheses (step 11), which leads to specification of substantive theory (step 11a). See Box 13.2 for an illustration.
  • The substantive theory may eventually be explored using grounded theory processes in a different setting from the one in which it was generated (step 12). In this way a formal theory (step 12a)—relating to more abstract categories not specifically examined in the research—can be generated.
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21
Q

memo

A

an analytical note that researchers write for themselves or colleagues about a code, category, or other ideas they might have about their data. Memo-writing occurs throughout the research process and assists researchers in developing their tentative analytical hunches

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22
Q

limits of grounded theory

A
  • Some question whether researchers can fully suspend their awareness of existing theories or concepts until the late stages of analysis when their theories are supposed to emerge.
  • time required to transcribe recordings of interviews, for example, can make it difficult for a researcher with a tight deadline to carry out a genuine grounded theory analysis, given the constant interplay of data collection and conceptualization that it requires.
  • It isn’t clear that the grounded theory method necessarily results in theory. It offers a rigorous approach to the generation of concepts and categories, but it is often difficult to see what theory, in the sense of an explanation of something, is put forward.
  • Grounded theory tends to invite researchers to code their data into discrete chunks. However, some commentators believe that this kind of fragmentation results in a loss of context and narrative flow
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23
Q

What do Strauss and Corbin (1998) refer to as the “building blocks of theory

A

concept

24
Q

_______ coding requires linking codes to contexts, consequences, patterns of interaction, and apparent causes

A

Axial

25
Q

coding guidelines

A
  • Code as soon as possible (that is, as data are being collected), as grounded theory suggests.
  • Read through the initial set of transcripts, field notes, documents, and so on, without taking any notes or considering any interpretations.
  • Do it again
  • Don’t worry about generating too many codes—at least in the early stages of analysis.
  • Review the codes, possibly in relation to the transcripts
    -Consider more general theoretical ideas in relation to codes and data
  • Finally, keep coding in perspective
26
Q

CAQDAS cannot

A

help with decisions about the codes, or the coding of textual materials, or the interpretation of findings. As with quantitative data analysis software such as IBM SPSS Statistics (SPSS), someone must still choose the variables to be analyzed and the analytic techniques to be used, and then make sense of the results.

27
Q

codes should not be thought of purely as mechanisms for the fragmentation and retrieval of text

A

They can do more than simply manage the data gathered. For example, examination of the interconnections between codes may reveal that some are dimensions of a broader phenomenon. For example, “ethnicity critique” came to be seen as a dimension of “ideology critique,” along with “class critique” and “gender critique.

28
Q

In what way can CAQDAS assist qualitative researchers during the coding process?

A

Searching for chunks of text relating to a code correct

29
Q

In what way does CAQDAS differ from

A

They are used to analyze different types of data.

30
Q

Which of the following is a well-known example of CAQDAS?

A

NVivo

31
Q

One of the most common criticisms of coding qualitative data is

A

losing the context of what was said

32
Q

second criticism of coding is that it

A

results in fragmentation of the data, causing the narrative flow to be lost

33
Q

Riessman’s account is interesting because it suggests several possibilities: that the coding method can fragment the data; that some forms of data may be unsuitable for coding; and that researchers can produce narrative analysis, since what she provided in this passage is precisely a narrative

A
34
Q

Interest in narrative analysis has grown and in large part this trend parallels the rebirth of interest in the

A

life history approach

35
Q

coding is unlikely to become less prominent, for several reasons:

A

it is widely accepted in the research community; not all analysts are interested in research questions that lend themselves to narratives; grounded theory and the techniques associated with it are very influential; and the use of computer software for qualitative data analysis frequently invites a coding approach.

36
Q

Quantitative researchers often criticize the tendency toward _______ found in much qualitative research

A

anecdotalism

37
Q

Which of the following is not a virtue of using computer software for qualitative data analysis?

A

Software reinforces the tendency toward fragmentation of textual materials. correct

38
Q

. Which of the following is a virtue of qualitative data analysis software programs?

A

Software increases the transparency of qualitative analysis.

39
Q

narrative analysis popular with

A

life history or biographical approach

40
Q

narrative analysis entails sensitivity to the connections between people’s accounts of past, present, and future events and states of affairs; to people’s sense of their place in those events and situations; to the stories they generate about them; and to the significance of context for the unfolding of events and people’s sense of their roles in them

A
41
Q

four models of narrative analysis

A
  • Thematic analysis examines what is said rather than how it is said.
  • Structural analysis emphasizes the way a story is told. Issues of content do not disappear, but attention is focused on the use of narrative mechanisms to increase the persuasiveness of a story.
  • Interactional analysis looks at the dialogue between the teller of a story and the listener. The co-construction of meaning by the two parties is especially prominent, although content and form are also taken into account.
  • Performative analysis analyzes narrative as a performance and explores the use of words and gestures to get a story across. This model of narrative analysis also examines audience responses to the narrativ
42
Q

The aim of narrative interviews is to

A

elicit interviewees’ reconstructed accounts of connections between events and links between events and contexts

43
Q

illness narratives

A

(accounts of illnesses people have experienced)

44
Q

_______ comprises a wide variety of approaches based on the search for and analysis of stories that people tell to understand their lives and the world around them.

A

Narrative analysis correct

45
Q

_______ emphasizes the way a story is told, focusing on the use of narrative mechanisms to increase persuasiveness.

A

Structural analysis

46
Q

Which of the following is an especially prominent focus in interaction analysis, as compared to other models of narrative analysis?

A

Co-construction of meaning by the storyteller and listener

47
Q

. In analytic induction, a hypothesis is

A

used to test for contradictory cases.

48
Q

Coding in grounded theory includes

A

groups of issues/activities. correct

49
Q

In grounded theory, data

A

are treated as potential indicators of concepts.

50
Q

Axial coding

A

is used to review data for linkages and re-organize them accordingly

51
Q

A researcher can use _______ to fill gaps in the data categories during qualitative analysis

A

selective coding

52
Q

Grounded theory research may lead to

A

a hypothesis

53
Q

. The final step in grounded theory is

A

generating a formal theory.

54
Q

Which of the following is not a level of coding in qualitative data analysis?

A

Examining fragmentatio

55
Q

_______ refers to converting data to codes and then categorizing it in a way useful for analysis.

A

Fragmentation

56
Q
A