SPSS survival manual : a step by step guide to data analysis using SPSS for Windows (Version 12) (Book, 2005) [WorldCat.org]
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SPSS survival manual : a step by step guide to data analysis using SPSS for Windows (Version 12)

Author: Julie Pallant
Publisher: Crows Nest, NSW, Australia : Allen & Unwin, 2005.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
A new edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely-used SPSS software package. Fully revised and updated for SPSS Version 12, and featuring examples from a wide range of disciplines.
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Document Type: Book
All Authors / Contributors: Julie Pallant
ISBN: 0335216404 9780335216406 1741144787 9781741144789
OCLC Number: 60638932
Notes: "A step by step guide to data analysis using SPSS version 15"--Cover.
Awards: Short-listed for Australian Awards for Excellence in Educational Publishing 2005 (Australia)
Description: xvi, 318 pages : illustrations ; 26 cm
Contents: Part I. Getting Started: 1. Designing a study; 2. Preparing a codebook; 3. Getting to know SPSS --
Part II. Preparing the Data File: 4. Creating a data file and entering data; 4. Screening and cleaning the data --
Part III. 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 IV. Statistical Techniques to Explore Relationships Among Variables: 11. Correlation; 12. Partial correlation; 13. Multiple regression; 14. Logistic regression --
15. Factor analysis --
Part V. Statistical Techniques to Compare Groups: 16. T-tests; 17. One-way analysis of variance; 18. Two-way between-groups ANOVA; 19. Mixed between-within subjects analysis of variance; 20. Multivariate analysis of variance; 21. Analysis of covariance; 22. Non-parametric statistics --
Appendix. Details of data files.
Responsibility: Julie Pallant.

Abstract:

Guides readers through the research process helping them choose the right data analysis technique for their projects. This book outlines the techniques with procedures for performing the analysis, a  Read more...

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