Review of Essential Statistical Principles: Big Picture on Statistical Modeling and Inference -- Introduction to SPSS -- Exploratory Data Analysis, Basic Statistics, and Visual Displays -- Data Management in SPSS -- Inferential Tests on Correlations, Counts, and Means -- Power Analysis and Estimating Sample Size -- Analysis of Variance: Fixed and Random Effects -- Repeated Measures ANOVA -- Simple and Multiple Linear Regression -- Logistic Regression -- Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis -- Principal Components Analysis -- Exploratory Factor Analysis -- Nonparametric Tests -- Closing Remarks and Next Steps.