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 1. Familiarization with the data 2. 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