SPSS for Social Scientists provides the novice researcher with a step-by-step guide to SPSS – easily the most widely used data analysis package in the social sciences. Written in a clear and non-technical style, the book gives practical guidance that gradually builds up the reader's knowledge, understanding and confidence.

Beginning with an overview of quantitative research and introducing the basics of the SPSS package, the book is then split into 'modules' that explain major procedures in SPSS up to Version 17 and beyond. Each module is packed with step-by-step worked examples that provide supportive and structured advice on inputting data, creating graphical presentations and analysing results. With specific guidance on how to manage the exploration, manipulation and transformation of data, the workbook also takes the reader through key statistical techniques, from t-test and cross-tabulation analysis through multiple response analysis and data reduction to multivariate techniques such as loglinear analysis and logistic regression.

This new edition is accompanied by a collection of rich and versatile datasets drawn from the International Social Survey Programme (ISSP), which offers a huge variety of international social science data from over 30 countries. Download datasets from www.palgrave.com/sociology/miller2e and you're ready to go. Whether you're a student or a researcher looking to upgrade your skills, this accessible text brings statistical analysis with SPSS to life in a practical and meaningful way.

This book is an ideal resource for new users of SPSS as well as those seeking a deeper understanding of some of the software's capabilities. The book is suitable both as an introductory and an intermediate course book. Willis O. Odek, University of Aberdeen, 'Sociological Research Online'

Preface
Introduction
Orientation
Data Input
Listing and Exploring Data
Data Selection and Transformation
t-test and Hypothesis Testing
Crosstabulation
Multiple Response Sets
Analysis of Variance (ANOVA)
Correlation and Regression
Factor Analysis
Logistic Regression
Loglinear Analysis
Conclusion
Appendix I: The Dataset Variables: A Quick Guide
Appendix II: Your SPSS Dictionary

ROBERT MILLER is Professor in Sociology in the School of Sociology and Social Policy at Queen's University of Belfast, UK where he is also Director of the Centre for Social Research. His books include Researching Life Stories and Family Histories and The A-Z of Social Research.

CIARAN ACTON is a Teaching Fellow in Sociology in the School of Sociology and Social Policy at Queen's University of Belfast, UK. He is widely experienced in teaching research methods.
 
DEIRDRE FULLERTON was previously a Lecturer in Social Research at the University of Ulster, UK. She is now works as an Independent Research Consultant.
 
JOHN MALTBY is Senior Lecturer in Psychology at the University of Leicester, UK. His books include Statistics for Nurses.