Quantitative Data Analysis with IBM SPSS 17, 18 & 19 (Paperback)

Alan Bryman

ISBN 10: 0415579198 / ISBN 13: 9780415579193

Published by Taylor & Francis Ltd, London, 2011

Paperback. 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 ; 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. The authors provide a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS Statistics Version 19 for Windows. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780415579193

Synopsis:

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.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; 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.

About the Author:

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.

Bibliographic Details

Title: Quantitative Data Analysis with IBM SPSS 17,...
Publisher: Taylor & Francis Ltd, London
Publication Date: 2011
Binding: Paperback
Condition: new