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Analysis of Qualitative Data

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Analysis of Qualitative Data Planning Research Chapter 9 Analysis requirements It requires that you make your own Interpretation and Highlighting patterns Grounded in ... – PowerPoint PPT presentation

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Title: Analysis of Qualitative Data


1
Analysis of Qualitative Data
  • Planning Research Chapter 9

2
Analysis requirements
  • It requires that you make your own
  • Interpretation and
  • Highlighting patterns
  • Grounded in the data in a way that can be
    recognized and understodd by readers of your
    research

3
Influence on Analysis
  • The analysis of your data will largely be
    influenced by
  • your theoretical perspective
  • Your research strategy
  • Your understanding about what might be relevant
    and improtant in answering your research question

4
1. Deductive Approach
  • The theory-driven approach helps you
  • To describe and explain the patterns of
    relationships and interactions better, because
    you group the data according to codes
  • To bring to the surface themes that might not
    emerge from the inductive mode of analysis

5
Coding Schema
  • Highlighting the elements in the theory as codes
    to interoretation
  • A matrix of codes can be constructed
  • Exampel Boston Matrix

6
2. Inductive Approach
  • Try to have a relatively open mind towards the
    topic
  • Prevent yourself from being over-structured by
    ane preconceptions
  • Improve the quality and depth
  • Increase the validity and reliability
  • Use the following stage model

7
Stage Model for Inductive Approach
  • Familiarization with the data
  • Coding, conceptualization and ordering
  • Open coding
  • Axial coding
  • Selective coding
  • Enfolding litterature

8
Stage 1. Familiarization
  • Interviews
  • Listen to interviews several times
  • Take notes about possible interpretations
  • Identify emerging patterns
  • Other qualitative data
  • Re-read materials
  • Review organizational documents and published
    reports

9
Stage 2 Coding
  • Involves the generation of concepts through the
    process of coding
  • operations in which data are broken down,
    conceptualized, and put back together in new ways

10
Open Coding
  • This is the initial stage of data analysis
  • Describing the overall features of the phenomenon
  • Data are broken down by asking simple questions
    like
  • What,
  • where,
  • when,
  • how and
  • how much

11
Observations Use of a Park
12
Axial Coding
  • Is the next stage after open coding
  • Puts data back in new ways
  • By making explicit connections between categories
  • You need to create a system of coding to be able
    to identify causal relationships

13
Categories
14
System of Coding
15
Selective coding
  • Involve both open and axial coding
  • Forming a theoretical framework
  • (Often called a grounded theory)
  • The codes and categories are explored further by
    revisiting the data

16
Enfolding Literature
  • The data analysis yilds a number og themes, that
    can be compare to existing literature
  • Asking what these themes are similar to, what
    they contradict and why
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