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Lecture13 Analysing qualitative data

Lecture13 Analysing qualitative data. Analysing qualitative data (1). Definition ‘Qualitative data refers to all non-numeric data or data that have not been quantified and can be a product of all research strategies’ Saunders et al . (2009). Analysing qualitative data (2).

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Lecture13 Analysing qualitative data

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  1. Lecture13Analysing qualitative data

  2. Analysing qualitative data (1) Definition ‘Qualitative data refers to all non-numeric data or data that have not been quantified and can be a product of all research strategies’ Saunders et al. (2009)

  3. Analysing qualitative data (2) Distinctions between quantitative and qualitative data Saunders et al. (2009) Table 13.1 Distinctions between quantitative and qualitative data

  4. Preparing data for analysis Key issues • Transcribing qualitative data • Using electronic textual data including scanned documents • The interactive nature of the process

  5. Approaches to qualitative analysis Main approaches • The deductive approach • The inductive approach

  6. Types of qualitative analysis process (1) Main types • Summarising (condensation) of meanings • Categorising (grouping) of meanings • Structuring (ordering of meanings using narrative Saunders et al. (2009)

  7. Types of qualitative analysis process (2) Dimensions of qualitative analysis Saunders et al. (2009) Figure 13.1 Dimensions of qualitative analysis

  8. Categorising data Points to consider • Deriving categories • ‘Unitising’ data • Recognising relationships and developing categories • Developing testable propositions • Qualifying your qualitative data

  9. Analytical aids Types of analytical aids • Interim summaries • Self-memos • Researcher’s diary

  10. Deductively based analytical procedures Procedures applicable to qualitative analysis • Pattern matching • Explanation building

  11. Inductively based analytical procedures Procedures applicable to qualitative analysis • Data display and analysis • Template analysis • Analytic induction • Grounded theory – open, axial and selected coding • Discourse analysis • Narrative analysis

  12. Discourse analysis A three-dimensional analytical framework for critical discourse analysis Saunders et al. (2009) Figure 13.2 A three-dimensional analytical framework for critical discourse analysis

  13. Using CAQDAS for qualitative analysis (1) Summary of functions • Structure of work • Closeness to data and interactivity • Explore the data • Code and retrieve • Project management and data organisation • Searching and interrogating • Writing memos, comments and note • Output Lewins and Silver (2006)

  14. Using CAQDAS for qualitative analysis (2) Checklist Complete the Checklist in the next page to help you choose a CAQDAS package Saunders et al. (2009)

  15. CHECKLIST - Choosing a CAQDAS package • How much data do you have that needs to be analysed qualitatively? • How important are these data, relative to other data you have collected for your research project? • How much time do you have to learn how to use the package? • How much support is available in your university to help you learn to use the package? • What is the operating system of your computer? • How much memory does your computer have? • How much time do you have to undertake your analysis? • Do you want software that will allow you to take an inductive (or a deductive) approach to your analysis?

  16. CHECKLIST - Choosing a CAQDAS package • Do you want a package that will help you manage your thinking and allow you to develop your own codes? • Do you want a package that will allow you to explore the way language is used in your data? • Do you want a package that allows you display relationships within your data diagrammatically? • Do you want a package that will allow you to quantify your data?

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