Tom Faulkenberry

A hierarchical Bayesian shifted Wald model with censoring -- Virtual MathPsych 2023

Tom Faulkenberry

Bayesian statistics -- Lecture 5 -- Bayesian t-tests

Tom Faulkenberry

Bayesian statistics -- Lecture 4 -- Bayesian inference for correlations in JASP

Tom Faulkenberry

Bayesian statistics -- Lecture 3 -- Tools for computing Bayes factors

Tom Faulkenberry

Bayesian statistics -- Lecture 2 -- The language and concepts of Bayesian statistics

Tom Faulkenberry

Bayesian statistics -- Lecture 1 -- Classical inference with the binomial model

Tom Faulkenberry

Bayesian statistics -- Lecture 0 -- Getting started Installing R and Jasp

Tom Faulkenberry

Experimental Design Lecture 9 - Mediation analysis

Tom Faulkenberry

Psychometrics - Lecture 9 - Structural equation modeling

Tom Faulkenberry

Experimental Design Lecture 8 - Linear regression models

Tom Faulkenberry

Psychometrics - Lecture 8 - Confirmatory factor analysis

Tom Faulkenberry

Experimental Design Lecture 7 - Bayesian analysis of covariance (ANCOVA)

Tom Faulkenberry

Psychometrics - Lecture 7 - Exploratory factor analysis

Tom Faulkenberry

Gamma function approximations for computing Bayes factors - MAA Texas Section 2021

Tom Faulkenberry

Experimental Design Lecture 6 - Analysis of covariance

Tom Faulkenberry

Psychometrics - Lecture 5 - Estimating reliability coefficients

Tom Faulkenberry

Experimental Design Lecture 5 - Factorial analysis of variance

Tom Faulkenberry

Experimental Design Lecture 4 - Repeated measures analysis of variance

Tom Faulkenberry

Psychometrics - Lecture 4 - Introduction to reliability and classical test theory

Tom Faulkenberry

Psychometrics - Lecture 3 - statistical properties of composite scores

Tom Faulkenberry

Experimental Design Lecture 3 - Inference for single factor designs

Tom Faulkenberry

Experimental Design Lecture 2 - Introduction to Bayesian inference

Tom Faulkenberry

Psychometrics - Lecture 2 - measuring variability and association

Tom Faulkenberry

Experimental Design Lecture 1 - Review of classical inference

Tom Faulkenberry

Psychometrics - Lecture 1 - Computing percentile ranks

Tom Faulkenberry

PSYC 2317 - Lecture 10 - Bayesian hypothesis testing

Tom Faulkenberry

PSYC 2317 - Lecture 9 - Doing tests with JASP Intro to Analysis of Variance

Tom Faulkenberry

PSYC 2317 - Lecture 8 - Confidence intervals for t-test designs

Tom Faulkenberry

PSYC 2317 - Lecture 7 - The independent samples t-test

Tom Faulkenberry

PSYC 2317 - Lecture 6 - Introduction to the t-test

Tom Faulkenberry