This a much expanded and updated version of David Silverman’s best-selling introductory textbook for the beginning qualitative researcher. Features of the New Edition: Takes account of the flood of qualitative work since the 1990s All chapters have been substantially rewritten with the aim of greater clarity A new chapter on Visual Images and a considerably expanded treatment of discourse analysis are provided The number of student exercises has been considerably increased and are now present at the end of every chapter An even greater degree of student accessibility: Key Points and Recommended Readings appear at the end of each chapter and technical terms are highlighted and appear in a Glossary A more inter-disciplinary social science text which takes account of the growing interest in qualitative research outside sociology and anthropology from psychology to geography, information systems, health promotion, management and many other disciplines Expanded coverage – 50% longer than the First Edition Interpreting Qualitative Data – New Edition is a companion volume to Silverman's Doing Qualitative Research (Sage, 2000), which is a guide to the business of conducting a research project, together with its accompanying volume of key readings Qualitative Research: Theory Method & Practice, (Sage, 1997), which provides further more focused material that students need before contemplating their own qualitative research study.

Drawing on the expertise of major names in the field, this text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume.

In this exciting and major updating of one the most important textbooks for beginning qualitative researchers, David Silverman seeks to match the typical chronology of experience faced by the student-reader. Earlier editions of Interpreting Qualitative Data largely sought to provide material for students to answer exam questions, yet the undergraduate encounter with methods training is increasingly assessed by students doing their own research project. In this context, the objective of the Third Edition is to offer undergraduates the kind of hands-on training in qualitative research required to guide them through the process.

Introduces and gives examples of some interpretive techniques for analyzing qualitative data that derive from four theories: ethnomethodology, semiotics, dramaturgy and deconstruction.

In this fifth edition of his field-defining text, David Silverman, a true guru of qualitative research, walks the reader through the basics of gathering and analyzing qualitative data. The book offers beginners unrivalled hands-on guidance to help them get the best out of a research methods course or research project. New to the fifth edition: A streamlined structure to aid navigation and guide readers smoothly through the research process. A new chapter on generalizing from case-study research which addresses the perennial issue of ‘how many cases do you need?’ New material on doing qualitative research online and the ethics of internet research. Additional sections covering organizational documents and documents of everyday life, including blogs and diaries. Many more recent case study examples drawn from a broad range of disciplines including business, education, social work and geography as well as health studies. A new and improved companion website, full of additional resources for students and lecturers. This is the perfect companion for all those new to qualitative research.

In eight clear-cut steps, this book provides a systematic introduction to qualitative content analysis and how you can use it in each stage of your research project, no matter the type or amount of data. Developed by a leading expert in the field and based on years of teaching experience, this book offers an essential framework for interpreting qualitative data for any social sciences student or researcher. To support you in choosing the best approach for your research, this book includes: · Examples of how QCA can be applied to various research processes · An introduction to text analysis and its different approaches · Discussions of how to use QCA software to benefit your research · An online how-to manual to help you get the most out of QCAmap software. It also introduces the process of scientific research, and integrates qualitative and quantitative analysis into the step-by-step approach.

Analysing Qualitative Data in Psychology equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusing on four major methods (grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis). Assuming no prior knowledge of qualitative research, chapters on the nature, assumptions and practicalities of each method are written by acknowledged experts. To help students and researchers make informed methodological choices about their own research the book addresses data collection and the writing up of research using each method, while providing a sustained comparison of the four methods, backed up with authoritative analyses using the different methods.

This comprehensive and balanced text has been written so that the "doing" of social research is closely and consistently linked to important social issues by using real social data. End-of-chapter discussion questions, research proposal development exercises and SPSS exercises help measure and enhance students’ understanding.

Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience.

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findings It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.