(P/B) THE SPSS SURVIVAL MANUAL

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In her bestselling guide, now covering up to version 21 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step by step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report.
For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.
This fifth edition is fully revised and updated to accommodate changes to IBM SPSS version 21 procedures, screens and output. Additional recommended readings and websites have been added. (From the publisher)

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Preface
Data files and website
Introduction and overview
Part One: Getting started
1. Designing a study
2. Preparing a codebook
3. Getting to know IBM SPSS
Part Two: Preparing the data file
4. Creating a data file and entering data
5. Screening and cleaning the data
Part Three: Preliminary analyses
6. Descriptive statistics
7. Using graphs to describe and explore the data
8. Manipulating the data
9. Checking the reliability of a scale
10. Choosing the right statistic
Part Four: Statistical techniques to explore relationships among variables
11. Correlation
12. Partial correlation
13. Multiple regression
14. Logistic regression
15. Factor analysis
Part Five: Statistical techniques to compare groups
16. Non-parametric statistics
17. T-tests
18. One-way analysis of variance
19. Two-way between-groups ANOVA
20. Mixed between-within subjects analysis of variance
21. Multivariate analysis of variance
22. Analysis of covariance
Appendix: Details of data files
Recommended reading
References