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Qualitative Data Analysis

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Title: Qualitative Data Analysis


1
Qualitative Data Analysis
2
Types of Input
  • Analysing data from
  • Interviews
  • Questionnaire (open-ended questions)
  • Also
  • Laddering
  • Card sorting
  • Repertory grids

3
Action Research Participatory Action Research
4
Action Research versus Participatory Action
Research
  • Focuses on the effects of the researcher's direct
    actions within a participatory community with the
    goal of improving the performance quality of the
    community or an area of concern.
  • Difference Or Extension?
  • Context Developing world issues versus
    Developed world issues?

5
Mind Map
6
Ethnography

7
Ethnography - background
  • What is Anthropology?
  • It is the comparative study of the physical and
    social characteristics of humanity through the
    examination of historical and present
    geographical distribution, cultural history,
    acculturation, and cultural relationships.

8
Ethnography - background
  • What is Cultural Anthropology?
  • It is one of four fields of anthropology which
    has developed and promoted "culture" as a
    meaningful scientific concept it is also the
    branch of anthropology that studies cultural
    variation among humans.

9
Ethnography
  • It is two things
  • The fundamental research method of cultural
    anthropology.
  • It is the genre of writing that presents
    descriptions of human social phenomena, based on
    fieldwork or, the written text produced to
    report ethnographic research results.

10
Ethnography
  • Whilst living among the people, ethnographers
    engage in participant observation.
  • This means that they participate, as much as
    possible, in local daily life (everything from
    important ceremonies and rituals to ordinary
    things like meal preparation and consumption)
    while also carefully observing everything they
    can about it.

11
Ethnography
  • Through this, ethnographers seek to gain what is
    called an emic perspective, or the native's
    point(s) of view without imposing their own
    conceptual frameworks.
  • The emic perspective is quite different from the
    etic perspective which is the outsider's view on
    local life.

12
Ethnography
  • Through the participant observation method,
    ethnographers record detailed fieldnotes, conduct
    interviews based on open-ended questions, and
    gather whatever site documents might be available
    in the setting as data.
  • This data is then recorded in the database.

13
Ethnomethodology
14
Ethnomethodology
  • The study of how people use commonsense
    understandings to get through everyday life
  • These understandings shape our assumptions about
    social Interactions
  • In a conversation between two people there are
    many things that are understood than are actually
    mentioned.

15
Ethnomethodology
  • What are social problems?
  • Damaging conditions resulting in harm to people
    or society.
  • Things are seen, judged, and defined to be
    problems, i.e. What people THINK they are.

16
Ethnomethodology
  • Tacit interpretation culture, teaching,
    understanding, experiences.
  • Explicit Truth misinterpretations,
    misunderstanding.

17
Ethnomethodology
  • Example Girl called Anna, unplanned pregnancy,
    21 years old, still in school.
  • Good or Bad?

18
Ethnomethodology
  • What if .?
  • Anna is an outstanding student, is the sole
    heiress to a multi-billion dollar business, has
    the full support of her parents, and will be
    finished school early into the pregnancy?

19
Ethnomethodology
  • Anna Anisimova
  • Daughter of Russian metals magnate Vassily
    Anisimov
  • Worth 1.3 billion

20
Ethnomethodology
  • We make assumptions based on our tacit
    interpretation of the world around us.
  • We can apply methods to research in order to
    apply a neutral analysis to the subject.
  • This has been done in HCI to study descriptions
    of how the users interact with systems, rather
    than what the system needed to do?

21
Ethnomethodology (Varieties)
  • 1. The organization of practical actions and
    practical reasoning. Including
  • 2. The organization of conversation analysis.
  • 3. Talk-in-interaction within institutional or
    organizational settings. Identify interactional
    structures that are specific to particular
    settings.
  • 4. The study of social activity. The analytic
    interest is in how that work is accomplished
    within the setting in which it is performed.
  • 5. The haecceity of work. Just what makes an
    activity what it is? E.g. what makes a test a
    test, a competition a competition, or a
    definition a definition?

22
Phenomenography

23
JA, ich liebe Logical Investigations 1900
Da Fan Club
Martin Heidegger
Jean-Paul Sartre
Edmund Husserl


Appearance
Description
Phenomenography
Maurice Merleau-Ponty
Graphein
Phainomenon
Das ist Phenomenography 1954
Plato or Bust
Ulrich Sonnemann
24
In other words
  • Phenomenography, a descriptive recording of
    immediate subjective experience as reported, for
    example, by a person under psychiatric
    examination, without questioning the share in
    such a communication of the ego. (Sonnemann, 1954
    )

25
What's it all About?
  • Empirical research Based on observation and
    experience
  • Applied factors Intelligence, Motivation,
    Effort, past and present surroundings,
    experiences, experiences and individual character
    traits

26
Grounded Theory

27
What is Grounded theory?
  • "Grounded theory methods are a set of flexible
    analytic guidelines that enable researchers to
    focus their data collection and to build
    inductive middle-range theories through
    successive levels of data analysis and conceptual
    development" Charmaz, K. (2005)

28
What is Grounded theory?
  • The phrase "grounded theory" refers to theory
    that is developed inductively from a corpus of
    data. If done well, this means that the resulting
    theory at least fits one dataset perfectly. This
    contrasts with theory derived deductively from
    grand theory, without the help of data, and which
    could therefore turn out to fit no data at all -
    Steve Borgatti

29
Grounded Theory
  • Emphasis on empirical material as basis for
    conceptualization.
  • Gathering reach empirical material from a variety
    of sources.
  • Open data collection
  • Recording data systematically
  • the emphasis is on exploring the nuances of the
    data by constantly asking, 'of what is this an
    example?'
  • Develop dense and grouded concepts and categories

30
Example - Data Analysis
  • Identify critical instances -highlight key
    passages of transcripts.
  • Open coding - assign passages to categories
    (i.e. abstract conceptual labels). Work through
    all transcripts and collect numerous illustrative
    quotes to saturate categories.
  • Axial coding - refine initial list of
    categories. Delete and amalgamate some. Make
    connections between the categories and define
    their properties e.g. context, pre-conditions.
    These are sub-categories.
  • Selective coding - identify a core category and
    themes from which theory will derive.

31
Research Design
  • Five components of research design
  • A study's questions
  • Its propositions, if any
  • Its unit(s) of analysis
  • The logic linking the data to the propositions
  • The criteria for interpreting the findings

32
Strengths and Weaknesses
  • Suitable for diagrammatic representation?
  • Complex terminology.
  • Time-consuming, requires concentration but can
    adapt a quick-and-dirty version.
  • Reductionist - complexity of raw data overcome by
    reducing it to the status of variables.
  • Does not lead to any surprising findings. Theory
    is inductively built up from data collected so
    cannot contain anything new. Uncovers a
    pre-existing reality similar to positivism /
    realism.
  • Idea that there is a core category which
    explains all.
  • Issues of generalisation

33
Nothing taken for granted?
  • What does it mean, that some people are better at
    learning than others?
  • Why are some people better at learning than
    others?

34
Q Methodology
35
Q Methodology
  • The name "Q" comes from the form of factor
    analysis that is used to analyze the data. Normal
    factor analysis, called "R method," involves
    finding correlations between variables (say,
    height and age) across a sample of subjects. Q,
    on the other hand, looks for correlations between
    subjects across a sample of variables. Q factor
    analysis reduces the many individual viewpoints
    of the subjects down to a few "factors," which
    represent shared ways of thinking.
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