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Reflections on my journey from fieldwork to thesis

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Data analysis is a complex and time-consuming task. ... and reporting my participants' perceptions of the issue under investigation. ... – PowerPoint PPT presentation

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Title: Reflections on my journey from fieldwork to thesis


1
Reflections on my journey from fieldwork to thesis
  • Waheed Hammad
  • Research Students Seminar
  • UEA
  • 24/4/2008

2
  • Data analysis
  • the process of bringing order, structure, and
    interpretation to the mass of collected data
    (Marshall and Rossman,1999)
  • It involves making sense of the data in terms
    of the participants definitions of the
    situation, noting patterns, themes, categories
    and regularities (Cohen et al., 2007)

3
  • Analysis during data collection
  • In the course of fieldwork, ideas about
    directions for analysis will occur. Patterns take
    shape. Possible themes spring to mind. Hypotheses
    emerge that inform subsequent fieldwork (Patton,
    2002).
  • Listening to the interviews and transcribing them
    on a daily basis.
  • Picking up the emerging themes.
  • Initial themes were useful in reshaping the
    remaining interviews and provided a basis for
    subsequent data analysis.

4
  • Analysis after data collection
  • Data analysis is a complex and time-consuming
    task. It is the most mysterious aspect of
    qualitative research (Maxwell, 2005)
  • Qualitative analysis is particularly difficult
    for a would-be qualitative researcher who can
    see the merits of a qualitative approach to data
    generation , but is less clear about what can be
    done with the products (Mason, 2002)

5
  • Organizing the data using MaxQDA
  • The analysis of qualitative data involves
    creativity, intellectual discipline, analytical
    rigor, and a great deal of hard work. Computer
    programs can facilitate the work of analysis, but
    they cant provide the creativity and
    intelligence that make each qualitative analysis
    unique. (Patton, 2002)
  • Entering interview transcripts into the
    programme.
  • Creating seven text groups based on the seven
    categories of participants.

6
  • Data coding
  • the formal representation of analytic
    thinking (Marshal Rossman, 1999). It involves
    devising a consistent system for indexing the
    whole of a data set according to a set of common
    principles and measures (Mason, 2002)
  • During this process, categories (or codes) are
    generated and then chunks of data are indexed (or
    coded) according to generated categories.
  • Reading through the data to seek the shape of
    the forest amid the trees (Gerson Horowitz,
    2002).
  • Generating categories (codes) as reading
    progresses.

7
  • Revisiting the coding system using the
    flexibility of MaxQDA.
  • Coding outcome 204 categories allocated to 3375
    text segments.
  • Retrieving coded data segments.
  • Conducting first level analysis examining,
    comparing and reporting my participants
    perceptions of the issue under investigation.
  • Emerging little interesting issues.
  • Conducting second level analysis digging deeper
    into my participants responses in order to
    interpret the meanings of their experiences.

8
  • Document analysis
  • Three types of school documents were analyzed
  • Minutes of meetings of school boards.
  • Minutes of meetings of the boards of trustees.
  • Minutes of meetings of the undersecretary
    with secondary head teachers.
  • Objectives
  • Building a model of decision-making in the sample
    schools.
  • Exploring the idea of centralized control.

9
  • Analysis outcome 150 pages of analysis
  • Identifying the big themes that form the
    thesis.
  • Three themes were identified
  • A model of decision-making in the sample schools.
  • The school culture as it relates to SDM.
  • Response to structural change.
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