Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?Chapter 2: The SPINE of statisticsChapter 3: The phoenix of statisticsChapter 4: ARGH! ARGH!Studio and QuartoChapter 5: Describing and visualizing dataChapter 6: The beast of biasChapter 7: CorrelationChapter 8: The linear model (regression)Chapter 9: Categorical predictors: Comparing two meansChapter 10: A tale of three Ms: Moderation, mediation, and missingnessChapter 11: GLM 1: Comparing several independent meansChapter 12: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)Chapter 13: GLM 3: Factorial designsChapter 14: GLM 4: Multilevel linear modelsChapter 15: GLM 5: Repeated-measures designsChapter 16: GLM 6: Mixed designsChapter 17: Exploratory factor analysisChapter 18: Categorical outcomes: chi-square and loglinear analysisChapter 19: Categorical outcomes: logistic regressionChapter 20: EpilogueAppendixGlossary.
Discovering Statistics Using R and RStudio