RM Qual 2 Flashcards

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1
Q

Qualitative Data Analysis

A
  • Systematic process of meaning-making. A defined
    set of procedures that are used flexibly (i.e. not a
    recipe)
  • Identifies patterns in data. Typically inductive but
    can be deductive
  • Describes and Interprets data
  • Aims to understand variation in experience and
    considers complexity
  • Empathetic (or can be critical)
  • Requires the active engagement of the researcher
    with the data
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2
Q

Transcription:

________ is most common –e.g.

A

Orthographic

speech is transcribed
verbatim using standard spelling conventions

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3
Q

Transcription

More complex forms take account of different aspects e.g.
_________ system (Landridge & Hagger-Johnson, 2009):

which 3 extra features does it have ?

A

Jefferson

  • Prosody (phonemic aspects of spoken language e.g. intonation,
    stress)
  • Paralinguistics (non-phonemic aspects of language e.g. serious
    or jocular)
  • Extralinguistic (non-linguistic aspects e.g. gesture
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4
Q

Content analysis

aim

A

uses qualitative data to examine patterns in communication in a replicable and systematic manner. systematic labelling of data allows statistical analysis of non-numerical data

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5
Q

Grounded theory

aim

A

to generate theories of social phenomena through systematic data analysis. It has inductive and deductive stages (e.g discover new themes, apply preconstructed theme)

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6
Q

Discourse or conversation analysis

aim

A

identify rules of conversational organisation. Studies recorded, naturally occurring talk-in-interaction to discover how participants understand and respond to one another

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7
Q

Interpretive phenomenological analysis

aim

A

offer insights into how a given person in a given context makes sense of a given phenomenon. usually these phenomena relate to experiences of some personal significance, such as a major life event or the development of an important relationship. Typically uses small homogenous samples

(whereas case study is on one persons experience. IPAs are interested in multiple peoples experience of a phenomena)

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8
Q

Thematic analysis

aim

A

a method for identifying, analysing and reporting patterns (themes) within data. It organises and describes your data in (rich) detail. However, frequently it goes further than this and interprets various aspects of the research topic.

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9
Q

advantages of thematic analysis

A
  • A unique feature of TA is it’s Flexibility e.g. sematic or
    latent; inductive or deductive, essentialist or
    constructionist
  • Relatively easy and quick to learn and do
    Accessible to novice researchers
  • Summarises key features of a large body of data
  • Highlight similarities and differences across a data set.
  • Can generate unanticipated insights
  • Allows for social and psychological interpretations of
    data
  • Results accessible to educated general public - Useful for
    producing qualitative analyses suited to informing policy
    development
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10
Q

Six phases of TA

A
  1. Data familiarisation – reading the data
  2. Generating codes – labelling ideas in the data that are relevant to the RQ
  3. Searching for themes - grouping related codes into candidate themes
  4. Reviewing themes – checking themes ‘fit’ the data and address the RQ
  5. Defining and naming themes – describing themes and selecting data extracts
  6. Producing the report / paper – writing introduction, method, findings and discussion
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11
Q

maybe make more cards on TA

A

thematic analysis

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12
Q
A
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