![]() The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http: //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 have also included a helpful glossary of key terms. 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. 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. 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. 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. 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.Most importantly, it does it without recourse to daunting formulae and calculations. ![]() Crucially, it explains why something is done, as well as how. 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. "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. 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. ![]() 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 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. ![]()
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