SPSS Survival Manual : A Step by Step Guide to Data Analysis Using SPSS (2 ed)

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.

Statistical techniques covered include:

* Descriptive statistics

* Correlation

* Multiple regression

* Logistic regression

* Factor analysis

* T-tests

* Analysis of variance

* Multivariate analysis of variance

* Analysis of covariance

* Non-parametric tests

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. This second edition includes new examples and a new section on logistic regression.

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.'

George Dunbar, University of Warwick

This book is an excellent addition to the research methods literature. It presents the research process, research strategy and SPSS techniques in manageable steps offering clear advice, useful tips and discussion of relevant issues such as assumptions and effect size.this text is written in an encouraging and supportive style. I believe students will read and learn with this book.'

David Cairns, Macquarie University