Pallant J. SPSS Survival Manual: A step by step guide to data analysis using SPSS

4th edition. — Crows Nest: Allen & Unwin, 2011. — 352 p. — ISBN: 0335242391, 1742373925.Julie Pallant's SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.
In this thoroughly revised edition of her bestselling text, now covering up to version 18 of the SPSS software, 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 easy to follow 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. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non_parametric Statistics chapter. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is THE 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.One Getting started
Designing a study
Preparing a codebook
Getting to know SPSS
Two Preparing the data file
Creating a data fi le and entering data
Screening and cleaning the data
Preliminary analyses
Descriptive statistics
Using graphs to describe and explore the data
Manipulating the data
Checking the reliability of a scale
Choosing the right statistic
Statistical techniques to explore relationships among variables
Correlation
Partial correlation
Multiple regression
Logistic regression
Factor analysis
Statistical techniques to compare groups
Non-parametric statistics
T-tests One-way analysis of variance
Two-way between-groups ANOVA
Mixed between-within subjects analysis of variance
Multivariate analysis of variance
Analysis of covariance
Appendix: Details of data files
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