Lecture 6: Qualitative Content Analysis Flashcards

1
Q

Text as data

A

Data coding = structured, abstraction into data

Text analysis = indirect (on abstract data)

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2
Q

Text as text

A

Data coding = more flexible, no abstraction from text

Text analysis = direct interpretation of text

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3
Q

Philosophical perspectives towards qualitative content analysis

A
  • Purist (interpretivist) perspective
  • Neo-positivist perspective
  • Dualist (pragmatist) perspective
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4
Q

Purist (interpretivist) perspective

A
  • Quantitative and qualitative content analyses techniques are fundamentally different
  • Reality can either be measured and quantified, or is socially constructed and depends on interpretation (remember: ontology and epistemology)
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5
Q

Neo-positivist perspective

A
  • Quantitative and qualitative content analyses techniques can both be used following a positivist approach (same logic of inference)
  • Critique: quantitative imperialism
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6
Q

Dualist (pragmatist) perspective

A

Both quantitative and qualitative content analysis have their strengths and weaknesses (aims for refinement of systematic techniques)

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7
Q

Three types of qualitative content analysis

A

Rhetorical analysis (delivery of a message)

Discourse analysis (ideas behind a mesage)

Narrative analysis (focus on the message)

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8
Q

Rhetorical analysis

A

Investigates that the author of a text is trying to achieve and the strategies employed to what end.

  • style of writing, type of diction, tone, key words, icons
  • focuses on the purpose and the rhetorical tools used in a text
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9
Q

Discourse analysis

A

Investigates the broader values norms, ideologies, and other contextual factors embedded in a particular set of documents.

  • concerned with ideational foundations of texts
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10
Q

Narrative analysis

A

Investigates the content, origins, evolution, and impact of the message as a story about political life.

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11
Q

Processes of doing qualitative content analysis

A

Embedding of the material within the communicative context
- context of communication matters
- material is examined with regard to its origin and effect

Systematic, rule-bound procedure
- Rules of text analysis have to be laid out in advance
- Procedural model defines the individual steps of the analysis
- Definition of content-analytical units (theoretically founded approach to material)

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12
Q

Three approaches to content analysis

A

Conventional / inductive content analysis

Directed / deductive content analysis

Mixed-method / summative content analysisf

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13
Q

Conventional / inductive content analysis

A

Follows a process of inductive category development
Data usually collected through in-depth interviews

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14
Q

Directed / deductive content analysis

A

Follows the process of deductive category development

Frequency measures can be used after the qualitative content analysis was conducted (e.g. rank ordering of categories)

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15
Q

Mixed-method / summative content analysis

A

Follows the process of frequency analysis (e.g. dictionaries) combined with deductive category development

Data usually based on manuscript type texts (e.g. newspapers)

Quantification before qualitative content analysis part: inference of usage before latent meaning

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16
Q

Inductive coding frames and category formation

A
  1. Definition of the level or theme of categories (deductive element)
  2. Establishment of the abstraction level (conceptualization)
  3. First round of coding to determine inductive categories fitted to the theme under study
  4. Revision of the category system (e.g. tree diagrams are helpful)
  5. Final coding of material
  6. Analysis of material (in line with theories on the topic)
17
Q

Deductive coding frames and category formation

A
  1. Determining the fundamental structuring dimensions of the coding frame (theory-based)
  2. Specification of subcategories
  3. Test coding to assess applicability of definition, anchors, and coding rules
  4. Coding of material (with potential inductive revisions of the coding frame)
  5. Analysis of material (in line with theories on the topic)
    Mayring 2015, Fig. 13.1, p. 375
18
Q

Trustworthiness in political science

A

Authenticity

Portability

Precision

Impartiality

19
Q

Authenticity

A

Accurate reading or genuine interpertation of reality

internal / content validity (positivist view) vs. credibility (interpretivist view)

20
Q

Portability

A

Contribution to knowledge accumulation

external validitation (positivist view) or transferability (interpretivist view)

21
Q

Precision

A

Transparancy in the way analyses are conducted (accuracy)

reliability or inter-subjectivity (positivist view) vs. dependability (interpretivist view)

22
Q

Impartiality

A

Concerns regarding researcher bias

objectivity (positivist) vs. confirmability (interpretivist)

23
Q

How to assure trustworthiness

A

Triangulation = corroborating one’s findings with other sources

Intense exposure and thick description

Audit trails and discrepant evidence