Schedule

• Content (): This page contains the readings, slides, and recorded lectures for the week. Read and watch these before our in-person class.
• Example (): This page contains fully annotated R code and other supplementary information that you can use as a reference for your evaluations. This is only a reference page—you don’t have to necessarily do anything here. Some sections also contain videos of me live coding the examples so you can see what it looks like to work in real time. This page will be very helpful as you work on your evaluations.
• Evaluations (): This page contains the instructions for each evaluation. Weekly check-ins and problem sets are due by noon on the day before class.

Introduction

	Title	Content	Example	Evaluations
Session 1
August 30	Introduction to experimental designs and motivation
September 5	Weekly check-in 1  (submit by 12:00:00)
September 5	Problem set 1  (submit by 12:00:00)
August 30	Installing R and Rstudio
Session 2
September 6	Review of key statistics concepts
September 6	Example 1 – Introduction
September 12	Weekly check-in 2  (submit by 12:00:00)
September 12	Problem set 2  (submit by 12:00:00)

Factorial designs

	Title	Content	Example	Evaluations
Session 3
September 13	Completely randomized designs with one factor
September 13	Example 2 – One-way ANOVA
September 19	Weekly check-in 3  (submit by 12:00:00)
September 19	Problem set 3  (submit by 12:00:00)
Session 4
September 20	Contrasts and multiple testing
September 26	Weekly check-in 4  (submit by 12:00:00)
September 26	Problem set 4  (submit by 12:00:00)
Session 5
September 27	Two-way factorial designs
September 27	Example 3 – Two-way ANOVA
October 3	Weekly check-in 5  (submit by 12:00:00)
October 3	Problem set 5  (submit by 12:00:00)
Session 6
October 4	Repeated measures
October 4	Example 4 – Repeated measures
October 10	Weekly check-in 6  (submit by 12:00:00)
October 10	Problem set 6  (submit by 12:00:00)
Session 7
October 11	Multiway ANOVA and MANOVA
October 11	Example 5 – Three-way ANOVA
October 11	Example 6 – MANOVA
October 17	Weekly check-in 7  (submit by 12:00:00)
October 17	Problem set 7

Advanced topics

	Title	Content	Example	Evaluations
Break
October 17–October 23	Fall break
Session 8
October 25	Analysis of covariance
October 25	Example 7 – Analysis of covariance  (submit by 12:00:00)
October 31	Weekly check-in 8  (submit by 12:00:00)
October 31	Problem set 8
Session 9
November 1	Effect size and power
November 1	Example 8 – Effect size and power
November 7	Weekly check-in 9  (submit by 12:00:00)
November 7	Problem set 9  (submit by 12:00:00)
Session 10
November 8	Mixed models
November 8	Example 9 – Linear mixed models
November 14	Weekly check-in 10  (submit by 12:00:00)
November 14	Problem set 10  (submit by 12:00:00)

Causal inference

	Title	Content	Example	Evaluations
Session 11
November 15	Intro to causal inference
November 21	Weekly check-in 11  (submit by 12:00:00)
Session 12
November 22	Linear mediation and moderation
November 22	Example 10 – Linear causal mediation
November 28	Weekly check-in 12  (submit by 12:00:00)
November 28	Problem set 11  (submit by 12:00:00)

Categorical data

	Title	Content	Example	Evaluations
Session 13
November 29	Categorical data, nonparametric test and final review
November 29	Example 11 – Nonparametric tests
November 29	Example 12 – Count data
December 5	Weekly check-in 13  (submit by 12:00:00)
December 5	Problem set 12  (submit by 12:00:00)

Final

	Title	Content	Example	Evaluations
End of term
December 6	Final exam  (submit by 18:30:00)
December 13	Paper review  (submit by 23:55:00)