About the book
SPSS Survival Manual 3rd edition
By Julie Pallant
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 15, it features new material on graphs and examples from a wide range of disciplines.
The SPSS Survival Manual throws a lifeline to students and researchers grappling with the SPSS data analysis software.
In this fully 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, 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 SPSS output and an example of how to present the results in a report.
For both beginners and experienced SPSS users in psychology, education, business, sociology, health 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 third edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A new flowchart is included for SPSS procedures, and factor analysis procedures have been streamlined. It includes extra examples and material on syntax. Additional datafiles are available on the book's support website.
Julie Pallant has spent many years helping students overcome statistics phobia. She is currently a research coordinator in the Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, Australia. Previously she has also worked as an applied statistics lecturer, counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.
Table of Contents:
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
