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A Crash Course in SPSS for Windows

Updated For Versions 10, 11, 12, and 13

Third Edition

By: ANDREW COLMAN (Leicester University) and Briony Pulford (University of Leicester)

Reviews

Description

This simple, user-friendly introduction to SPSS for Windows has now been updated so that it can be used with versions 10, 11, 12 and 13 of the software.

• Clearly describes all the most widely used statistical techniques and graphic facilities in SPSS for Windows
• Includes two new chapters on recoding variables and handling large data files, and using SPSS syntax, and a new appendix discussing procedures for exporting and importing Excel files
• Supported by an online resource site featuring downloadable data sets and additional examples from various social science disciplines. Visit www.blackwellpublishing.com/crashcourse upon publication.

TopTable of Contents

Preface to the Third Edition
Choosing an Appropriate Statistical Procedure
Where to Find Things in SPSS
1. Introduction
2. Using Windows
3. Loading Data and Printing
4. General Descriptive Statistics
5. Correlation Coefficients
6. Chi-square Tests
7. Independent-samples, Paired-samples, and One-sample t Tests
8. Mann-Whitney U and Wilcoxon Matched-pairs Tests
9. One-way Analysis of Variance
10. Multifactorial Analysis of Variance
11. Repeated-measures Analysis of Variance
12. Multiple Regression
13. Log-linear Analysis
14. Factor Analysis
15. Charts and Graphs
16. Handling Variables and Large Data Files
17. Syntax Windows

Appendix 1: Handling Dates
Appendix 2: Exporting and Importing Excel Files
References
Index

TopAbout the Author

Andrew M. Colman is Professor of Psychology at the University of Leicester and an Academician of the Social Sciences. His previous publications include numerous journal articles and several books, including the Oxford Dictionary of Psychology (2001, 2006).

Briony D. Pulford, Lecturer in Psychology at the University of Leicester, is an experienced researcher and data analyst. She has published extensively in academic journals, and has taught undergraduates how to use SPSS over many years.

Home

This simple, user-friendly introduction to SPSS for Windows has been updated so that it can be used with Versions 10, 11, 12, and 13 of SPSS. For this latest edition, the authors have added two short chapters, one on recoding variables and handling large data files and another on using SPSS syntax, and there is also a new appendix that discusses procedures for exporting and importing Excel files. Readers can easily type in the data to gain data entry experience, or can download the data sets used in the book from this site.

This book was written on the basis of formal usability trials with people who wanted to learn to use SPSS and who suggested numerous improvements to the presentation and content of an early draft. The book is unique in the way in which it has been road-tested and improved by students and researchers learning SPSS. The third edition retains all of the features that made earlier editions so attractive to students and teachers:

• The material is concise and focused, enabling most users to learn the basics comfortably in about 10 easy hours.
• The book covers the most widely used statistical techniques in SPSS, from elementary procedures up to multiple regression, log-linear analysis, and factor analysis, and a separate chapter is devoted to SPSS graphic facilities.
• Every statistical procedure is explained very explicitly with the help of a step-by-step analysis of a numerical example.
• Examples are based on real data from published research, rather than imaginary data sets.
• The authors have chosen small data sets to minimize time spent inputting data.
• Screen shots on almost every page make it easy for students to cross between the text and the screen.
• For complete beginners, the first two chapters describe the basic features of Windows and explain how to get the SPSS package up and running.

The third edition will continue to enable students to learn to use SPSS quickly and painlessly, assuming they have some basic understanding of statistical methods.

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