Discourse as Data
A Guide for Analysis
- Margaret Wetherell - The Open University
- Stephanie Taylor - The Open University, UK
- Simeon J Yates - Sheffield Hallam University, UK
This workbook will be invaluable for students across the social sciences who need to learn how to analyze discourse. Using a step-by-step approach, students are introduced to the principal range of methods for analyzing different types of text, taken through key analytic concepts, offered specimen analyses and given the opportunity to try out analytic concepts on new data.
Discourse as Data is organized around eight chapters, six of which are related to the domains covered in the Reader, and top and tailed by two chapters which set up common methodological issues in discourse research relevant to all approaches (such as transcription and the application and the critical evaluation of discourse research).
Though the text will be a perfect companion to the simultaneously published Reader, its broad coverage, combined with didactic, practical guidance should make this important reading for any student or researcher wishing to learn more about discourse analysis.
This book will be ideal as a teaching tool, and an invaluable aid on discourse analysis courses, which have a practical content, most notably within the fields of psychology, cultural and media studies, sociology and linguistics.
This book is a course reader for The Open University course Discourse Analysis (D843).
`A highly effective introduction which gives readers a clear sense of how to analyze discourse data and then employ the analytic approaches in their own research' - David Silverman, Goldsmith College, University of London
This book is a wonderful teaching tool that gives an in-depth insight into principles and practice of conducting a discourse analysis. It will also be very useful for our dissertation students who are using discourse analysis in their research.
The data is more qualitative than quantitative. I was hoping to see the quantifying discourse data.
Useful if looking at analysing text covering subject areas such as intertextuality, and social theory.
Excellent textbook for all interested in this aspect of research
Excellent explanation of how to undertake discourse research, simple explanations and easy to follow. Comprehensive explanations incorporating a range of data from different sources. Could be used so that student can develop good quality research and follow good practice, this book gives great insight into the world of discourse research
The focus of this book is concerned with the practicalities of analysing empirical data and the techniques used in discourse analysis. The main aim of this book is to illustrate how to do discourse analysis of people’s: dialogue in interviews, every day conversation and social interaction, as well as text in historical documents and records. This text consists of eight well laid out chapters comprising of examples of transcripts and codification schemes used in actual research projects. Each chapter contains a useful end of chapter reference section for the reader to easily follow up references. The subjects covered in this book are: conversation analysis, sociolinguistics and corpus analysis, discursive action models, interpretative repertories, ideological and subject positions to consider, critical discourse analysis, genealogical analysis, as well as, how to evaluate and apply discourse analytic research. This book is recommended for anyone seeking to undertake qualitative research involving discourse analysis as a means to analyse and generate empirical data.
This is an excellent book it is clear and concise and the chapters providing illustrative examples are varied and of high quality. The methodology however is too specialised for our general student needs.
An excellent text for those engaging in this discourse analysis
This book is a very good addition to the more general reading, and I believe that it will benefit students in understanding key aspects with regard to Discourse psychology, feminism and other topics addressed in the course.