SPSS Survival Manual 4th edition
About the book
A completely updated 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 18.
The SPSS Survival Manual throws a lifeline to students and researchers grappling with the SPSS data analysis software.
In this thoroughly revised edition of her bestselling text, 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, Pallant 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 SPSS data output and an example of how to present the results in a report.
For both beginners and experienced SPSS users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.
In this fourth edition, all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non-parametric Statistics chapter.
'An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided.'
- Associate Professor George Dunbar, Department of Psychology, University of Warwick
'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.'
- John Roodenburg, Faculty of Education, Monash University
Julie Pallant has spent many years helping students overcome 'statistics phobia'. She is Director of Research and Graduate Studies in the Rural Health Academic Centre at the University of Melbourne. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.
Table of contents
Preface
Data files and website
Introduction and overview
PART ONE: GETTING STARTED
1. Designing a study
2. Preparing a codebook
3. Getting to know 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
Index
Please note: during 2009, version 18 of the SPSS program was briefly renamed PASW Statistics, which stands for Predictive Analysis Software. The name was changed again in 2010 to IBM SPSS. To prevent confusion, thye author has referred to the program as SPSS throughout the book and website, but all the material applies to programs labelled both PASW and IBM SPSS.
