Leseprobe
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Find the Theme in Your Data
Robert Thomas
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Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Geisteswissenschaften, Kunst, Musik / Pädagogik
Beschreibung
Working with even small amounts of qualitative data can be intimidating. Students may not know where to start, how much detail to involve, what themes really tell you, and why they matter in the larger context of the research. Focused on building confidence and decreasing anxiety from information overload by helping students build a manageable system that works for digging into and making sense of their individual data, this Little Quick Fix answers questions like:
- What is a theme?
- How do I start looking for themes?
- How do I turn my transcriptions into themes?
- How do I turn my codes into themes?
- How do I turn my categories into themes?
- How will I know if my themes are any good?
- How will I know if my themes are meaningful?
Students need help over hurdles at every stage of their research project. They want simple, powerful, accessible tools that deliver results fast. They need to meet interim assessment deadlines and prove that they have successfully passed through multiple stages of their project, or need to master a stage of understanding in a learning cascade before they can proceed to the next week in their methods module.
Their supervisors are increasingly unable to help, but will still be assessing results. Students need more than YouTube.
Titles in the Little Quick Fix series offer:
· Visual, design-led learning
· Clear, structured, useful pedagogy
· A hand-holding, step-by-step approach for students who are less able, or less academically prepared by school so far
· Effective self-directed learning with DIY progress tracking
· A stand-in for the busy/unavailable supervisor
Kundenbewertungen
qualitative data analysis, textual analysis, transcription, qualitative research, textual data, coding manual, thematic analysis, code frame