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
September 2	Introduction to experimental designs and motivation
September 8	Weekly check-in 1  (submit by 12:00:00)
September 8	Problem set 1  (submit by 12:00:00)
September 3	Installing R and Rstudio
Session 2
September 9	Review of key statistics concepts
September 15	Example 1 – Introduction
September 15	Weekly check-in 2  (submit by 12:00:00)
September 15	Problem set 2  (submit by 12:00:00)

Completely randomized designs

	Title	Content	Example	Evaluations
Session 2
September 16	Completely randomized designs with one factor
Session 3
September 16	Example 2 – One-way ANOVA
September 22	Weekly check-in 3  (submit by 12:00:00)
September 22	Problem set 3  (submit by 12:00:00)
Session 4
September 23	Contrasts and multiple testing
September 29	Weekly check-in 4  (submit by 12:00:00)
September 29	Problem set 4  (submit by 12:00:00)
Session 5
September 30	Complete factorial designs
October 6	Weekly check-in 5  (submit by 12:00:00)
October 6	Problem set 5  (submit by 12:00:00)

Advanced topics

	Title	Content	Example	Evaluations
Session 6
October 7	Multiway factorial designs
October 13	Weekly check-in 6  (submit by 12:00:00)
October 13	Problem set 6  (submit by 12:00:00)
Session 7
October 14	Block designs and analysis of covariance
October 20	Weekly check-in 7  (submit by 12:00:00)
October 20	Problem set 7  (submit by 12:00:00)
Break
October 20–October 26	Fall break
Session 8
October 28	Effect sizes and the replication crisis
November 3	Weekly check-in 8  (submit by 12:00:00)
November 3	Problem set 8  (submit by 12:00:00)

Repeated measure designs

	Title	Content	Example	Evaluations
Session 9
November 4	Repeated measures
November 10	Weekly check-in 9  (submit by 12:00:00)
November 10	Problem set 9  (submit by 12:00:00)
Session 10
November 11	Mixed models
November 17	Weekly check-in 10  (submit by 12:00:00)
November 17	Problem set 10  (submit by 12:00:00)

Causal inference

	Title	Content	Example	Evaluations
Session 11
November 18	Power and intro to causal inference
November 24	Weekly check-in 11  (submit by 12:00:00)
November 24	Problem set 11  (submit by 12:00:00)
Session 12
November 25	Linear mediation analysis
December 1	Weekly check-in 12  (submit by 12:00:00)
December 1	Problem set 12  (submit by 12:00:00)

Categorical data

	Title	Content	Example	Evaluations
Session 13
December 2	Categorical data and final review
December 8	Weekly check-in 13  (submit by 12:00:00)

Final

	Title	Content	Example	Evaluations
End of term
December 9	Paper review  (submit by 23:55:00)
December 13	Final exam  (submit by 13:30:00)