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Qualitative Data Analysis

Editat de Peter A. Stevens
en Limba Engleză Hardback – 31 dec 2022
With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods.  

With a clear focus on the ‘how to’ of QDA, each chapter includes:   
• Step-by-step descriptions of how to apply each approach in your research 
• Online and in-text activities to help you practice your skills 
• Annotated reading lists so you can dig deeper into key topics 
• Case studies from a range of disciplines so you can see how each approach works in practice. 

The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials. 

 
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Specificații

ISBN-13: 9781529730418
ISBN-10: 1529730414
Pagini: 402
Dimensiuni: 175 x 250 x 26 mm
Greutate: 0.87 kg
Ediția:1
Editura: SAGE Publications Ltd
Locul publicării:London, United Kingdom

Cuprins

Introduction: Walking On and Off the Beaten Track
Critical Discourse Analysis: The Articulation of Power and Ideology in Texts
Grounded Theory: Key Principles and Two Different Approaches
Narrative Analysis: Analysing ‘Small Stories’ in Social Sciences
NVivo: An Introduction to Textual Qualitative Data-Analysis with Software
Process-Tracing: Making Single Case Studies Transparent and Convincing
Qualitative Comparative Analysis: A Qualitative Method for Uncovering Complex Causal Relations
Qualitative Content Analysis: A Practical Introduction
Textual Analysis: A Practical Introduction to Studying Texts in Media and Cultural Studies
Thematic Analysis: An Analytical Method in Its Own Right

Descriere

An accessible introduction to help you get to grips with the how-to of qualitative data analysis, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods