SPSS Survival Manual
A step by step guide to data analysis using IBM SPSS
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.
In her bestselling guide, 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 procedures, screens and output. Additional recommended readings and websites have been added.
'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, University of Warwick
'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - Dr John Roodenburg, Monash University
Table of Contents
Data files and website
Introduction and overview
PART I: GETTING STARTED
1 Designing a study
2 Preparing a codebook
3 Getting to know IBM SPSS
PART II: PREPARING THE DATA FILE
4 Creating a data file and entering data
5 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
12 Partial correlation
13 Multiple regression
14 Logistic regression
15 Factor analysis
PART V: STATISTICAL TECHNIQUES TO COMPARE GROUPS
16 Non-parametric statistics
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
JULIE PALLANT has spent many years helping students overcome 'statistics phobia'. She is Associate Professor and 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.