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Quantitative Data Analysis with SPSS 14, 15 & 16

A Guide for Social Scientists

• By Alan Bryman, Duncan Cramer

• Price: $34.95
• Binding: Paperback (also available in Hardback)
• Pages: 408
• Published by: Routledge
• Publication Date: 15th October 2008 (Available for Pre-order)
• ISBN: 978-0-415-44089-9

About the Book

This edition has been completely updated to accommodate the needs of users of SPSS Releases 14, 15 and 16, whilst still being applicable to those using SPSS Releases 10-13.

Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS.

No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to statistical techniques, which includes:

• Non-parametric tests
• Correlation
• Simple and multiple regression
• Analysis of variance and covariance
• Factor analysis

The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. For the first time, the book includes a helpful glossary of key terms.

The datasets used in Quantitative Data Analysis with SPSS 14, 15 & 16 are available online at: www.psypress.com/brymancramer; in addition a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available here free of charge to lecturers who adopt the book.

Reviews

"Alan Bryman and Duncan Cramer offer a clear, concise yet impressively comprehensive introduction to statistical theory, data manipulation and quantitative analysis (including advanced multivariate techniques) for the three latest versions of SPSS. The inclusion, in this revised edition, of a glossary of terms, web-based multiple-choice questions and course materials for instructors should further enhance its popular appeal to students and academics alike." - Dr Alistair Harvey, Department of Psychology, University of Winchester.

"A superb book, especially for those learning SPSS and the applications of statistical tests for the first time as it takes the reader from first principles through to multivariate statistics. Earlier versions have been an excellent teaching manual for students for many years and this version continues with this tradition." - Professor Dominic Upton, Head of Psychology and Health Sciences, University of Worcester.

"This updated edition is an excellent tool in practical exercises for advanced level research methods courses in Medical or Social sciences. It provides a clear step-by-step guide for students on everything from the different types of research questions to the elaboration of suitable formats for data-tables, the manipulation of analysis-commands and the interpretation of output-tables using the most recent versions of SPSS. The accompanying supplementary material should prove to be an excellent partner for self tuition." - Ivan Bautmans (PhD), Frailty in Ageing research group, Vrije Universiteit Brussel, Brussels, Belgium

"This text offers the student the opportunity to merge theoretical statistical concepts and processes with practical application through the use of SPSS. The material is presented in an easy to understand logical format with useful diagrams, which is particularly appealing to students with no prior statistical knowledge." - Jennifer Hennessy, Lecturer in Human Resource Management, Waterford Institute of Technology.

Table of Contents

Preface. Data analysis and the research process. Analyzing data with computers: first steps with. SPSS 14, 15 and 16. Analyzing data with computers: further steps with SPSS 14, 15 and 16. Concepts and their measurement. Summarizing data. Sampling and statistical significance. Bivariate analysis: exploring differences between scores on two variables. Bivariate analysis: exploring relationships. Multivariate analysis: exploring differences among three or more variables. Multivariate analysis: exploring relationships among three or more variables. Aggregating variables: exploratory factor analysis. Answers to Exercises. Glossary. Bibliography. Index.

About the Author(s)

Alan Bryman is Professor of Organisational and Social Research at the School of Management, University of Leicester. His research interests are located primarily in Research Methods, Leadership, and in wider trends in society, like Disneyization.

Duncan Cramer is Professor of Psychological Health in the Department of Social Sciences, Loughborough University. His research interests and publications include such topics as mental health, personality, personal relationships, psychotherapy and counselling.

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