Schedule

Here’s your roadmap for the semester!

• Readings should be completed before each class session
• Slides and other class materials will be added on the day of class
• Assignments are due at 11:00 P.M. on Friday (unless otherwise stated)

Week	Date	Topic	Content	Class	Labs	[]
1	1/30/23	Introduction
	2/1/23	Quarto: Blogging				Jason
2	2/6/23	Robust methods: Bootstrapping and permutation				Jason
	2/8/23	Lab 1
3	2/13/23	Missing data				Sydney
	2/15/23	Lab 2
4	2/20/23	Polytomous models: Ordinal regression				Nicole
	2/22/23	Lab 3
5	2/27/23	Polytomous models: Multinomial regression				Henna
	3/1/23	Lab 4
6	3/6/23	Poisson regression/negative binomial				Sarah
	3/8/23	Lab 5
7	Spring Break
8	3/20/23	Bayesian analysis				Cody
	3/22/23	Lab 6
9	3/27/23	Mediation				Claire
	3/29/23	Lab 7
10	4/3/23	Path modeling/SEM				Jason
	4/5/23					Jason Tasukahara will Zoom in and talk about R package for SEM
11	4/10/23	Principal components analysis/factor analysis				Branson
	4/12/23	Lab 8
12	4/17/23	Unsupervised learning: Clustering				Jamie
	4/19/23	Lab 9
13	4/24/23	GEEs/Multilevel modeling				Killian
	4/26/23	Lab 10
14	Reading Week
15	Finals	Blog posts due