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Qualitative Data Analysis

Practical Strategies
 WEB PDF
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781526471697
Veröffentl:
2020
Einband:
WEB PDF
Seiten:
584
Autor:
Pat Bazeley
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:

Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful.It demonstrates the importance of tying analysis into every aspect of research, from design, through data collection and management, to writing up, and provides step-by-step guidance on how to embed analysis from start to finish. Grounded in the reality of doing research, this second edition:. Presents visual and text-based methods for analysis, using manual and digital tools. Inspires confidence as you code, connect and interrogate observational, text and visual data. Showcases best practice and helps you navigate real-life dilemmas using case studies of research from across the social sciences.Together with rich online resources including videos, datasets and journal articles, this is an important new edition for all students undertaking qualitative research, with a focus on analysis and design.
Part I: Laying the foundations for analysisChapter 1: Thinking and working qualitativelyChapter 2: Foundations for thinking and working qualitativelyChapter 3: Design that supports analysisChapter 4: Managing and preparing data for analysisPart II: Fundamentals of analysis: working with dataChapter 5: Read, reflect, and connect: initial explorations of dataChapter 6: Coding as an analytic strategyChapter 7: Tools to manage the coding processChapter 8: Codes, themes, and descriptive writingChapter 9: Working with cases to build understanding and explanationChapter 10: Learning from stories, accounts, and conversationsChapter 11: Analysing visual dataChapter 12: Comparative analyses using coded dataPart III: Extending analysis beyond codes and themesChapter 13: Exploring, seeing, and investigating connections in dataChapter 14: Elaborating concepts, developing theoryChapter 15: Realising coherent understandingChapter 16: Defending and extending: issues of quality and significance

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