Lecture7Handout_3slidesperpage

Lecture7Handout_3slidesperpage - Overview 1. Qualitative...

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2 Overview 2. Lab report overview 3. Review of Lectures 1 to 7 Qualitative What is qualitative research? Methods Open-ended questions How to analyse qualitative data? Qualitatively Quantitatively
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4 1. Braun & Clarke (2006). Using thematic analysis in psychology [article] 2. Neill (2009). Qualitative analysis [online article] 3. Taylor-Powell & Renner (2003). Analzying qualitative data. [online article] Readings 5 "All research ultimately has a qualitative grounding" - Donald Campbell 6 What is qualitative research? • The primary intent of qualitative research is to “listen” to or learn from the participants/clients themselves about the topic of interest. • Qualitative data can consist of: –Words (e.g., from interviews), –Pictures (e.g., video), or –Objects (e.g., an artifact)
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7 Nature of qualitative research 1. Aims for a complete, rich, detailed description. 2. Often recommended during earlier phases of research. 3. Researcher may only know roughly in advance what he/she is looking for. 4. Design may emerge as the study unfolds. 5. Researcher becomes subjectively immersed in measuring and interpreting the subject matter. 6. Less objective and generalisable than quantitative. 8 Qualitative data gathering methods • Historical • Participant observation • Focus groups • Interviews • Surveys 9 Survey research: Closed vs. open-ended questions • Close-ended –researcher provides respondent with limited response options. • Open-ended –respondents can formulate their own response. • e.g., “What are the reasons you donate blood?” ____________________________
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10 • Close-ended –easier to analyse • Open-ended –useful in exploratory, pilot or pre- testing stage of research –useful for complex issues –richer data collected –can be less biased than close-ended –useful for instrument development and validation Survey research: Close vs. open-ended questions 11 Qualitative data analysis "[Qualitative] data analysis is the process of bringing order, structure and meaning to the mass of collected data. It is a messy, ambiguous, time-consuming, creative, and fascinating process. It does not proceed in a linear fashion; it is not neat. Qualitative data analysis is a search for general statements about relationships among categories of data." Marshall and Rossman (1990, p. 111) 12 Qualitative data analysis 1. Thematic analysis (treat as qualitative data) - identify underlying themes - describe themes with illustrative quotes 2. Content analysis (treat as quantitative data ) –convert words into data by coding –analyse frequencies and percentages
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13 Thematic analysis: Treat as qualitative data • Transcribe data • Read data • Develop themes (patterns) • Code • Analyse & illustrate themes and relationships • Report –summarise themes in words –use illustrative quotes 14 Phases of thematic analysis 1. Familiarise yourself with your data
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This note was uploaded on 05/23/2011 for the course PSYC 2011 taught by Professor > during the Three '11 term at University of Sydney.

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Lecture7Handout_3slidesperpage - Overview 1. Qualitative...

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