Quantitative Data Analysis with IBM SPSS 17, 18 & 19: A Guide for Social ScientistsPaperback
- Publisher: ROUTLEDGE
- Format: Paperback | 408 pages
- Dimensions: 172mm x 242mm x 24mm | 762g
- Publication date: 23 June 2011
- Publication City/Country: London
- ISBN 10: 0415579198
- ISBN 13: 9780415579193
- Edition: 2
- Edition statement: Revised.
- Illustrations note: 101 black & white tables, 141 black & white line drawings
- Sales rank: 410,060
This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: * Non-parametric tests * Correlation * Simple and multiple regression * Analysis of variance and covariance * Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms. The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.psypress.com/brymancramer; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.
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Alan Bryman is Professor of Organisational and Social Research at the School of Management, University of Leicester. His research interests include research methodology, leadership and organizational analysis. Duncan Cramer is Professor of Psychological Health in the Department of Social Sciences at Loughborough University. His research interests include mental health, personality, personal relationships, psychotherapy and counselling.
"A helpful, user friendly introduction for quantitative data analysis using SPSS designed for students in both psychology and sociology fields." - Andrada Ivanescu, East Carolina University, US, in The American Statistician "Alan Bryman and Duncan Cramer take the reader on a journey through their first steps in using SPSS and data entry, through to how to decide which statistical technique is the most appropriate for their research and how to interpret each aspect of their analyses. This book is one of the most comprehensive and accessible books available on the market." - Professor Dominic Upton, Head of Psychology, University of Worcester, UK "Bryman and Cramer's Quantitative Data Analysis has long been one of the best texts in the field. Crucially, it explains why something is done, as well as how. Most importantly, it does it without recourse to daunting formulae and calculations. It takes students from the beginnings of data analysis, assuming no knowledge of either statistics or SPSS, and by the end of it a student can be an accomplished analyst." - Malcolm Williams, Director, Cardiff University. School of Social Sciences, UK
Table of contents
Preface. 1. Data Analysis and the Research Process. 2. Analyzing Data with Computers: First Steps with SPSS 19, 18 and 17. 3. Analyzing Data with Computers: Further Steps with SPSS 19, 18 and 17. 4. Concepts and Their Measurement. 5. Summarizing Data. 6. Sampling and Statistical Significance. 7. Bivariate Analysis: Exploring Differences between Scores on Two Variables. 8. Bivariate Analysis: Exploring Relationships. 9. Multivariate Analysis: Exploring Differences among Three or More Variables. 10. Multivariate Analysis: Exploring Relationships among Three or More Variables. 11. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises. Glossary. Bibliography. Index.