Machine generated contents note: pt. I Jump Starting Your Qualitative Research Project -- 1. Introduction: From Why to How in Qualitative Research -- A pragmatic approach to qualitative research: What this book is (and is not) about -- How to use this book -- 2. How to Conceptualize Research: Getting Started and Advancing Ongoing Projects -- Introduction -- Selecting a topic -- Data and theory driven -- Researcher driven -- Abbott's lists -- Establishing the problem -- What is my intention? -- What is my research problem? -- Conclusion -- 3. How to Design a Qualitative Project and Create a Research Question: Selecting the Right Tools for the Job -- Introduction -- Developing a research question -- Guidelines for crafting qualitative research questions -- Connecting your methods and research question -- Types of data -- What is the structure of my research design? -- What will your sample consist of? -- Data collection and validity concerns -- Validity threats -- Validity tests.

Note continued: Generalizing from qualitative research -- Modelling your research design -- Writing a research proposal -- Making a good argument -- Parts of a research proposal -- Collaborations with non-academic groups -- Why partner? Key objectives -- Anticipating challenges -- Conclusion -- pt. II The Ins and Outs of Collecting Qualitative Data -- 4. How to Do Interviews: Making What People Say Matter -- Introduction -- Structure of interviews -- Method of interviewing -- In-person interviews: Description -- In-person interviews: Benefits and challenges -- Remote interviews: Description -- Remote interviews: Benefits and challenges -- Getting prepared -- Hardware and software considerations -- The interview bag -- Data collection tools -- The interview schedule -- The content of an interview schedule: Part 1 -- The content of an interview schedule: Part 2 -- The demographic survey -- Summative, theoretical, methodological and personal memos -- Closing the deal.

Note continued: Initial contact -- Follow-up -- Scheduling -- Interviewing techniques -- Know thy interview schedule -- Build a rapport -- Be alert: Active listening and seeing -- Control your physical and verbal reactions -- Transcription decisions -- De-naturalist transcription -- Naturalist transcription -- Managing interview data -- Recruitment data management -- Participant information data management -- Conclusion -- 5. How to Do Focus Groups: Making the Most of Group Processes -- Introduction: What is a focus group? -- The focus group -- Group size -- Number of group discussions -- Length of focus group -- Group composition -- Group homogeneity -- Group heterogeneity -- Use of pre-existing groups -- Group dynamics -- Group interaction -- Incentives -- Roles -- The moderator -- Second interviewer/note taker -- Location -- Proximity -- Indoor versus outdoor -- Seating arrangement -- Name tags -- Distractions -- The discussion guide.

Note continued: Section one Introductory remarks -- Section two Opening questions -- Section three The body -- Section four Closing questions -- Probes -- Additional information -- Interview schedule versus focus group discussion guide -- Activities -- Recording -- Advantages and disadvantages of focus groups -- Conclusion -- 6. How to Conduct Field Research: Getting in and Getting out with High Quality Data -- Introduction -- Developing data collection resources -- Gaining access -- You're in, now what? Negotiating roles in the field -- Time matters: How long is enough? -- Field notes: Data recording and organizational devices -- 7. How to Use Unobtrusive Methods: The Beauty of Social, Physical and Visual Artefacts -- Introduction -- Types of unobtrusive data -- Social behaviour -- Physical traces -- Collecting unobtrusive data: Key considerations and tools -- Natural and contrived observations -- Covert and non-covert research.

Note continued: Systematic and non-systematic observations: People -- Manifest and latent approaches: Things -- Conclusion -- pt. III Analysing and Writing Up Your Research -- 8. How to Do Data Analysis: The Beginner's Guide to Coding -- Introduction -- Getting prepared -- Preparing your data: Early considerations and tasks -- The codebook -- Data analysis tools: From manual to CAQDAS options -- Pre-coding, First Cycle and Second Cycle coding -- Getting started: Pre-coding -- Developing Codes: First Cycle Codes -- The emergence of Categories: Early and later stages of Second Cycle coding -- Pattern coding -- Focused coding -- Frequency coding -- Comparison coding -- Conclusion -- 9. How to Write up Qualitative Research: Making Your Words Count -- Introduction -- Presenting qualitative data -- Understanding your audience -- Books -- Peer reviewed journals -- Policy reports -- Presenting your data -- Tables -- Quotations and excerpts -- Tips for good writing.

Note continued: Things to consider in your writing -- Effectively responding to reviewer comments -- Complete responses -- Polite responses -- Evidenced responses.