Qualitative Analysis

AvDouglas Ezzy

Inbunden, Engelska, 2002

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Beskrivning

Offering a detailed introduction to the practice of data analysis, this book is both user-friendly and theoretically grounded. Drawing on his extensive experience of qualitative research, Douglas Ezzy reviews approaches to data analysis in established research traditions including ethnography, phenomenology and symbolic interactionism, alongside the newer approaches informed by cultural studies and feminism. He explains the difference between inductive, deductive and abductive theory building, provides a guide to computer-assisted analysis and outlines techniques such as journal writing, team meetings and participant reviews.This text is one of the first to treat computer assisted data analysis as an integral part of qualitative research. Exceptionally well written, this is a valuable reference for research students and professional researchers in the social sciences and health.

Produktinformation

Utgivningsdatum:2002-03-07
Mått:156 x 234 x 21 mm
Vikt:540 g
Format:Inbunden
Språk:Engelska
Antal sidor:200
Förlag:Taylor & Francis Ltd
ISBN:9780415281263

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Mer om författaren

Douglas Ezzy lectures in the School of Sociology and Social Work at the University of Tasmania. He is co-author with Pranee Rice of Qualitative Research Methods: A health focus (Oxford University Press).

Recensioner i media

'At last! - an enjoyable methods book which is a compelling read AND genuinely practical in analysing qualitative research. A 'must-have'.' - Professor Allan Kellehear, La Trobe University'This is a good book on an important topic. It offers sound, level-headed, balanced advice, is up-to-date, written in an engaging style, and covers virtually all of the main issues relating to the analytic and writing process in qualitative research.' - Professor Nigel Fielding, University of Surrey

Innehållsförteckning

Chapter 1 Theory and data: a hermeneutic approach; Chapter 2 Politics, rigour and ethics; Chapter 3 Data analysis during data collection; Chapter 4 Coding data and interpreting text: methods of analysis; Chapter 5 Computer-assisted qualitative data analysis; Chapter 6 Writing about qualitative data;