Lecture 6: Qualitative Content Analysis Flashcards

1
Q

What are the two approaches to analyzing text in qualitative research?

A

Text as data & Text as text

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2
Q

Text as data

A

data coding = structured data coding + abstract text analysis.
Text analysis= indirect (on abstract data)

This method is typically used for analyzing texts from archival data collections (documents).

(examples: comparative manifesto project + comparative agendas project)

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3
Q

Monroe & Schrod describe text in political behaviour:

A

“the most pervasive – and certainly the most persistent – artifact of political behavior

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4
Q

Text as text

A

More flexible data coding, no abstraction from text.
Text analysis is a direct interpretation.
Often used for participant + archival data collection.

Text as textThe aim of qualitative research is understanding social phen

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5
Q

Philosophical perspectives towards qualitative content analysis

A
  • purist (interpretivist) perspective
  • neo-positivist perspective
  • Dualist (pragmatist) perspective)
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6
Q

What is the Purist (Interpretivist) perspective in qualitative content analysis

A
  • Quantitative and qualitative content analyses techniques are fundamentally different
  • Reality can either be measured + quantified or is socially constructions + depends on interpretation.
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7
Q

What is the neo-positivist perspective in qualitative content analysis

A
  • Quantiative + qualitative content analyses techniques can both be used following a positivist approach (same logic of inference)
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8
Q

What is the Dualist (pragmatist) perspective) in qualitative content analysis

A

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

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9
Q

What are the key steps in Qualitative Content Analysis according to Schreier (2013) (4 steps)

A
  1. Deciding on a research question.
  2. Data Collection & Preparation:
    selecting material, conducting interviews, and transcription.
  3. Building a coding frame: defining main and subcategories, text segmentation, trial coding, and modifying the coding frame.
  4. Coding and analyzing the text:
    main analysis, presenting, and interpreting findings.
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10
Q

What is key distinction between quantative and qualitative content analysis

A

Quantitative content analysis involves the systematic counting and quantification of content, while qualitative content analysis focuses on interpreting meanings, themes, and patterns within the text

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11
Q

What are main steps in conducting qualitative CONTENT analysis (4)

A
  1. deciding a research question
  2. Data collection & preparation
    ( selecting materials, interviews, transcription)
  3. Building a Coding frame
    (defining main + subcategories, text segmentation, trial coding)
  4. Coding + analyzing text
    (main analysis, presenting & interpreting findings)
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12
Q

What are the main criteria for building a coding frame in Qualitative Content Analysis?

A
  • Main categories should be unidimensional (representing one concept).
  • Subcategories should be mutually exclusive (no overlap).
  • The category system should be exhaustive (cover all possible categories, including a residual category if necessary)
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13
Q

What are key steps in inductive coding frames + category formation

A
  • Definition of level or theme of categories
  • Establishment abstraction level
  • first round of coding to determine inductive categories
  • revision category system
  • final coding + analysis of material in line with relevant theories

—> think about tree diagrams

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14
Q

Deductive coding frames and category formation: key steps

A
  • Determining the fundamental structuring dimensions (theory-based)
  • Specification of subcategories
  • Test coding to assess applicability
  • Coding with potential inductive revisions
  • Final analysis of material in line with theories

(theoretical validation)

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15
Q

What key Research Design Decisions (text analysis considerations) should be made before conducting qualiative text analysis?)

A
  • Number + role human coders
  • use of computer-assisted coding
  • text segmentation (defining coding unit)
  • Establishing a clear, concept-driven coding frame
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16
Q

What are two main approaches to category formation in qualitative content analysis?

A
  1. Concept-driven (deductive)
    - based on pre-existing theory
  2. Data-driven (inductive)
    - categories emerge from data itself during analysis
17
Q

What is method used by Kirk Hawkins to measure populism

A

Holistic grading: qualitative, hand-coded content analysis

18
Q

What is key difference between holistic grading and Dictionary approach in content analysis?

A

Holisitc grading: involves qualitative evaluation of content
Dictionary approach: uses predefined word lists to quantify text

19
Q

What are methods used to assure TRUSTWORTHINESS in Qualitative research design

A
  • Triangulation: corroborating one’s findings with multiple sources/methods
  • intense exposure + thick description
  • audit trails + discrepant evidence
    (increasing transparancy)
20
Q

What should be considered as coding units in qualitative content analysis?

A

Whole sentences in paragraphs or bullet points that convey meaning.
Excluding headings, subheadings, pictures, diagrams and tables

21
Q

What is purpose of coder training in Qualitative content analysis?

A

To ensure coders have theoretical and conceptual understanding,
sensitivity to linguistic peculiarities, knowledge of the code system, and familiarity with coding software (e.g., MAXQDA).

22
Q

What are the 4 key aspects of trustworthiness in political science research

A

Authenticity
Portability
Precision
Impartiality

23
Q

Authenticity:

A

accurate reading or genuine interpretation of reality

Content validity (positivist)
Credibility (interpretivist)

24
Q

Portability

A

Contribution to knowledge accumulation

External validation (positivist)
Transferability (interpretivist)

25
Q

Precision

A

Transparancy in the way analyses are conducted/ accuracy

Reliability (positivist view)
Dependability (interpretivist view)

25
Q

Impartiality

A

Concerns regarding researcher bias

objectivity (positivist)
Confirmability (interpretivist)

26
Q

assuring trustworthiness. Positivist view on authenticity

A

content validity: accuracy in capturing reality

27
Q

assuring trustworthiness. Interpretist view on authenticity

A

Credibility: faithfulness to participants perspectives

28
Q

assuring trustworthiness. Interpretist view on Portability

A

Transferability: how well finding apply to other settings and cases

29
Q

assuring trustworthiness. Positivist view on Portability

A

External validation: findings can be generalized to other contexts.

30
Q

Assuring trustwortiness: : Positivist view on Precision

A

Reliability: conistence in research methods + findings

31
Q

Assuring trustwortiness: : Interpretivist view on Precision

A

Dependability: transparancy + stability in research

32
Q

Assuring trustwortiness: : Interpretivist view on Impartiality

A

Confirmability: ensuring that findings are shaped by participants, not researchers bias

33
Q

Assuring trustwortiness: : Positivist view on Impartiality

A

Objectivity: removal of researcher bias