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 IBM SPSS 15

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

About the Author

JULIE PALLANT has spent many years helping students overcome 'statistics phobia' in her roles as Director of Research and Graduate Studies in the Department of Rural Health at the University of Melbourne, and Senior Lecturer in Applied Statistics at Swinburne University. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.