SPSS Made Easy: A Practical Guide to Statistical Analysis for Students and Researchers

SPSS Made Easy provides readers with a step-by-step guide to running a variety of statistical analyses on SPSS. With hundreds of images illustrating how to set up data files, run tests, and where to focus when interpreting the results, the book is intended to provide the reader with confidence throughout. It also describes when to use different tests, how to check assumptions, and how to interpret and report results. The book’s 20 chapters cover the following:
Questionnaire Processing (e.g., identifying missing data, reverse coding, internal reliability)
Independent T-Tests
Mann–Whitney U Tests
Paired T-Tests
Wilcoxon Signed-Rank Tests
One-Way Independent ANOVAs
Kruskal–Wallis Tests
One-Way Repeated Measures ANOVAs
Friedman Tests
Two-Way Independent ANOVAs
Two-Way Mixed ANOVAs
One-Way Independent ANCOVAs
One-Way Independent MANOVAs
Pearson Correlation
Spearman Correlation
Simple Linear Regression
Multiple Linear Regression
Binary Logistic Regression
Chi-Square Tests of Independence
Chi-Square Goodness of Fit Tests
The book provides a link to a website where the reader can download a spreadsheet containing the data used in the examples. Additionally, the book indicates how the reader can obtain SPSS data files for all of the analyses covered.