IBM SPSS by Example

Chapter 1: Introduction Getting the Most Out of IBM SPSS by Example A Brief Overview of the Statistical Process Understanding Hypothesis Testing, Power, and Sample Size Understanding the p-Value Planning a Successful Analysis Guidelines for Creating Data Sets Preparing Excel Data for Import Guidelines for Reporting Results Opening Data Files for Examples Chapter 2: Describing and Examining Data Example Data Files Describing Quantitative Data Describing Categorical Data Chapter 3: Creating and Using Graphs Introduction to SPSS Graphs Chart Builder Graphboard Template Chooser Legacy Plots Scatterplots Histograms Bar Charts Pie Charts Box Plots Chapter 4: Comparing One or Two Means Using the t-Test One-Sample t-Test Two-Sample t-Test Paired t-Test Chapter 5: Correlation and Regression Correlation Analysis Simple Linear Regression Multiple Linear Regression Chapter 6: Analysis of Categorical Data Contingency Table Analysis McNemar's Test Mantel-Haenszel Comparison Tests of Interrater Reliability Goodness-of-Fit Test Other Measures of Association for Categorical Data Chapter 7: Analysis of Variance and Covariance One-Way ANOVA Two-Way Analysis of Variance Repeated-Measures Analysis of Variance Analysis of Covariance Chapter 8: Non-parametric Analysis Procedures Spearman's Rho Mann-Whitney-Wilcoxon (Two Independent Groups Test) Kruskal-Wallis Test Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs Friedman's Test Chapter 9: Logistic Regression Simple Logistic Regression Multiple Logistic Regression Chapter 10: Factor Analysis Factor Analysis Examples