Pallant J. SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS

Open University Press, 2016. — 444 p. — 6th ed. ISBN: 033526154XThe 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 sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non-parametric statistics, importing data, and calculating dates.Data files and website Introduction and overviewGetting started
Designing a study
Preparing a codebook
Getting to know IBM SPSSPreparing the data file
Creating a data file and entering data
Screening and cleaning the dataPreliminary analyses
Descriptive statistics
Using graphs to describe and explore the data
Manipulating the data
Checking the reliability of a scale
Choosing the right statisticStatistical techniques to explore relationships among variables
Correlation
Partial correlation
Multiple regression
Logistic regression
Factor analysisStatistical 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 Recommended reading References