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Quantitative Data Analysis with SPSS 14, 15 & 16: A Guide for Social Scientists - Softcover

 
9780415440899: Quantitative Data Analysis with SPSS 14, 15 & 16: A Guide for Social Scientists

Synopsis

Offers a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. This step-by-step guide to statistical techniques includes: non-parametric tests; correlation; simple and multiple regression; analysis of variance and covariance; and, factor analysis.

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Review

"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, UK

"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, UK

"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, 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, Ireland

 

Synopsis

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; and, 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. In this title, 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; 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.

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  • PublisherRoutledge
  • Publication date2008
  • ISBN 10 0415440890
  • ISBN 13 9780415440899
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages408

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9780415440882: Quantitative Data Analysis with SPSS 14, 15 & 16: A Guide for Social Scientists

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