Intro to Qualitative Research Flashcards

1
Q

What can we gain ?

A
  • Recurrent themes
  • Hypothesis generation
  • survey components
  • Classification systems
  • Theoretical frameworks
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2
Q

Philosophical foundations in research

A

ontology -> epistemology -> methodology -> methods -> sources
- Hay 2002
- , ontology + epistemology combined is a paradigm ( holistic view)

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3
Q

Ontology

A
  • Nature of reality
  • What exists
  • views of reality
  • What’s out there to know
  • multiple perspectives on what is reality
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4
Q

Epistemology

A
  • Theory of knowledge
  • HOW can we study the world
  • what do you know + how can you know it
  • multiple perspectives on how we generate knowledge
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5
Q

Research paradigms

A
  • positivism = one reality we measure objectively
  • critical realism = one reality we know through interactions
  • Constructivism = multiple realities that need interpreting
  • pragmatism = Whatever works
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6
Q

Collecting Qualitative Data- Interviews

A
  • structured, semi + unstructured
  • Semi: most common + most practical
  • emphasis on same meaning
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7
Q

collecting Qualitative Data- Focus Groups

A
  • group interview that uses interactions as data
  • ppts can respond to + comment on each others constributions
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8
Q

collecting Qualitative nata- observations

A
  • covert Vs overt
  • ppt Vs non-ppt
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9
Q

Existing Data

A
  • Data in public domain: news articles, media broadcasts, social media posts
  • Archival data: diaries, letters , newspapers
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10
Q

Reflexivity

A
  • Aim for objectivity but researchers are sceptical g this
  • we all have different views but need to observe facts objectively
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11
Q

Non-Text methods of analysis

A
  • Repertory grids
  • Q-methodology
  • microanalysis of audio/video
  • method pluralistics
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12
Q

Text based methods of analysis

A
  • Thematic analysis
  • Interpretive phenomenological Analysis (IPA)
  • Discourse analysis (DA)
  • content analysis
  • grounded theory
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13
Q

content Analysis

A
  • Highly flexible
  • Focuses on identifying frequency of themes, words + concepts
  • conceptual analysis = looks for existence + frequency of concepts /themes
  • Relational analysis = examines relationship between themes
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14
Q

content Analysis stages

A
  • Prepare - dev aims
  • familarise yourself with data
  • Break text up + condense
  • Apply initial codes
  • Identify themes
  • Adjust codes where needed
  • create codebook
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15
Q

evaluating content analysis

A
  • Highly flexible + adaptable
  • systematic analysis
  • Time consuming
  • can’t draw cause + effect conclusions
  • coding is subjective to researcher
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