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. The spreadsheet and data files are completely free.