Frequentist Statistics

• Interactive Web Course: Seeing Theory
• Blogpost: Statistical Modeling, Causal Inference, and Social Science
• Short paper: Descriptive Statistics for Modern Test Score Distributions: Skewness, Kurtosis, Discreteness, and Ceiling Effects
• Open-Access Course (MIT): Introduction to Probability and Statistics
• Blogpost: What is an Interaction Effect?
• Blogpost: Breaking it Down: Logistic Regression
• Short paper: An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences
• Interactive webpage: Understanding Maximum Likelihood

Bayesian Statistics

• Book course: Statistical Rethinking by Richard McElreath (see also the corresponding YT lecture series and exercise collection in R, all open-access)
• Blogpost: Bayesian Statistics: What is it and Why do we Need it?
• Short paper: How to become a Bayesian in eight easy steps: An annotated reading list
• Short paper: There is Nothing Magical about Bayesian Statistics: An Introduction to Epistemic Probabilities in Data Analysis for Psychology Starters
• Short paper: What is a Bayes factor?
• Coursera Course: Bayesian Statistics: Techniques and Models
• Coursera Course: Bayesian Statistics: From Concept to Data Analysis