Regression, ANOVA, and the general linear model a statistics primer - Vik, Peter (Los Angeles SAGE Publications, 2014)
Chapter 1: Introduction -- Part I: Foundations of the General Linear Model ; Chapter 2: Predicting Scores: The Mean and the Error of Prediction ; Chapter 3: Bivariate Regression ; Chapter 4: Model Comparison: The Simplest Model Versus a Regression Model -- Part II: Fundamental Statistical Tests ; Chapter 5: Correlation: Traditional and Regression Approaches ; Chapter 6: T-test: Concepts and Traditional Approach ;Chapter 7: Oneway Analysis of Variance (ANOVA): Traditional Approach ; Chapter 8: T-test, ANOVA, and the Bivariate Regression Approach -- Part III: Adding Complexity ; Chapter 9: Model Comparison II: Multiple Regression ; Chapter 10: Multiple Regression: When Predictors Interact ; Chapter 11: Two-way ANOVA: Traditional Approach ; Chapter 12: Two-way ANOVA: Model Comparison Approach ; Chapter 13: One-way ANOVA with Three Groups: Traditional Approach ; Chapter 14: ANOVA with Three Groups: Model Comparison Approach ; Chapter 15: Two by Three ANOVA: Complex Categorical Models ; Chapter 16: Two by Three ANOVA: Model Comparison Approach ; Chapter 17: Analysis of Covariance (ANCOVA): Continuous and Categorical Predictors ; Chapter 18: Repeated Measures ; Chapter 19: Multiple Repeated Measures ; Chapter 20: Mixed Between and Within Designs -- Appendices A: Research Designs ; B: Variables, Distributions, & Statistical Assumptions ; C: Sampling and Sample Sizes ; D: Null Hypothesis, Statistical Decision-Making, & Statistical Power.
Keywords: Analysis of variance; Regression analysis; Linear models (Statistics)