Singlegroup Moderated Mediation (Continuous Z)

Length: 

46:58

Dr. Wickham continues to describe singlegroup moderated mediation--this time with a continuous moderator! He then walks through an example.

Singlegroup Moderated Mediation (Discrete Z)

Length: 

48:27

Dr. Wickham describes singlegroup moderated mediation with a discrete moderator then walks through an example.

R Crash Course III: Recoding Variables in R

Length: 

25:21

Joe from the Statistics Consulting Center (SCC) outlines recoding variables in R.

R Crash Course II: ggplot2 in R

Length: 

21:51

Joe from the Statistics Consulting Center (SCC) outlines functions in ggplot2.

Multigroup Mediated Moderation (Discrete Z)

Length: 

35:03

Dr. Wickham describes mediated moderation and runs through an example using MPlus.

Monte Carlo Simulation with Mediation

Length: 

47:12

Dr. Wickham continues the conversation on Monte Carlo simulations by adding a mediation.

Monte Carlo Simulation in MPlus

Length: 

40:13

Dr. Wickham describes the process of Monte Carlo simulations and runs through a simple example in MPlus.

Intro to Growth Curves: Video 2

Length: 

28:15

Dr. Wickham continues his description of growth curves and shows how to plot growth curve data in R Studio.

Introduction to Growth Curves

Length: 

50:57

Dr. Wickham explains the mixed effects equations for growth curves and runs through an example in SAS.

Intro to SAS: Video 2

Length: 

41:52

Dr. Wickham continues the introduction to SAS data management, specifically merging hierarchical datasets together.

Introduction to SAS: The Basics

Length: 

37:27

Dr. Wickham introduces SAS statistical software and demonstrates data import, merge, and descriptives.

R Crash Course I: Introduction

Length: 

44:28

Dr. Wickham describes R programming language and how to install it as well as R Studio. He discusses some basic functionalities of R and runs through a regression analysis.

Introduction to Power: Using G*Power

Length: 

35:02

Dr. Wickham walks through the directions for installing and using G*Power. He discusses effect size, sample size, and test type as they relate to power, and suggests a few papers to read for a more in-depth understanding.