Meta-Analysis for Researchers: Introduction and Key Concepts with David Wilson

Mixed Models for Intensive Longitudinal Data: Intro to EMA & Multilevel Analysis with Donald Hedeker

The Science of Biological Aging: Concepts & Measurement with Lauren Gaydosh

Understanding Item Response Theory (IRT): Key Concepts & Applications with Matthew Diemer

Analyzing Complex Survey Data: An Introduction with Brady West

Instrumental Variables & Causal Inference from Observational Data: Key Concepts with Felix Elwert

Network Psychometrics & Exploratory Graph Analysis (EGA) with Hudson Golino

Intro to Mediation, Moderation, and Conditional Process Analysis with Amanda Montoya

Latent Class Analysis: Learn Key Concepts with Stephanie Lanza & Bethany Bray

Quantifying Sensitivity in Causal Inference with Kenneth Frank

Longitudinal Data Analysis Using R: An Introduction to Panel Data with Stephen Vaisey

Kenneth A. Bollen on Choosing Models for Longitudinal Data Analysis

Latent Growth Curve Modeling: An Introduction to Longitudinal Data with Dan McNeish

Statistical Genetics: Foundations for Genomic Data Analysis with Daniel Adkins

Bayesian Data Analysis: Methods in Advanced Models with Roy Levy

Structural Equation Modeling (SEM) with Rex B. Kline: An Introduction to Methods & Best Practices

Fully Bayesian Treatment of Missing Data with Paul Allison

Intro to Multilevel Models: Exploring Variance in Nested Data with Stephen Vaisey

Propensity Score Analysis: Get Started with Treatment Effect Estimation with Shenyang Guo

Bayesian Data Analysis: Get Started with Roy Levy

Introduction to Time Series Analysis: Practical Methods Explained with Daniel J. Henderson

Causal Inference with Machine Learning: An Introduction with Ashley Naimi

Introduction to Difference-in-Differences (DiD): Panel Data and Fixed Effects Models Explained

Introduction to Categorical Data Analysis: Understanding Nonlinear Effects with Trenton Mize

Introduction to Machine Learning Methods with Bruce Desmarais

A Short Introduction to R