The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.

In her bestselling manual, 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 through to advanced statistical techniques. She outlines each technique clearly, providing step by step procedures for performing your analysis, a detailed guide to interpreting data output and examples of how to present your 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 seventh edition is fully revised and updated to accommodate changes to IBM SPSS Statistics procedures, screens and output.

'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

A website with support materials for students and lecturers is available at www.spss.allenandunwin.com

part One|24 pages

Getting started

chapter 1|8 pages

Designing study

chapter 2|4 pages

Preparing a codebook

chapter 3|10 pages

Getting to know IBM SPSS Statistics

part Two|26 pages

Preparing the data file

chapter 4|17 pages

Creating a data file and entering data

chapter 5|7 pages

Screening and cleaning the data

part Three|75 pages

Preliminary analyses

chapter 6|15 pages

Descriptive statistics

chapter 8|17 pages

Manipulating the data

chapter 9|5 pages

Checking the reliability of a scale

chapter 10|19 pages

Choosing the right statistic

part Four|83 pages

Statistical techniques to explore relationships among variables

chapter 11|13 pages


chapter 12|5 pages

Partial correlation

chapter 13|22 pages

Multiple regression

chapter 14|13 pages

Logistic regression

chapter 15|22 pages

Factor analysis

part Five|126 pages

Statistical techniques to compare groups

chapter 16|30 pages

Non-parametric statistic

chapter 17|11 pages


chapter 18|19 pages

One-way analysis of variance

chapter 19|9 pages

Two-way between-groups ANOVA

chapter 21|15 pages

Multivariate analysis of variance

chapter 22|22 pages

Analysis of covariance