PSYC 640: Graduate Statistics

This page contains an outline of the topics, content, and preparation for the semester. This schedule will be updated as the semester progresses, with all changes documented here.

Important

Readings on the schedule will need to be completed prior to the course they are listed for. We will build on the concepts you read about in that specific class period, so it is important that you have read.

Week	Date	Topic	Readings	Due
1	08-27	Getting set up + foundations - VIRTUAL	Chapter 1 - ROS Chapters 1 & 2 - LSR
2	09-03	R Foundations + Data Wrangling	Chapters 2-4, 6 & 28 - R4DS Chapter 2 - MSR	Lab 1 Lab 2
3	09-10	Descriptives, Visualizations + Communication	Chapter 5 - MSR Chapters 3 & 4 - ST Chapter 1 - R4DS
4	09-17	Design, Sampling + Inference	Navarro Blog Post Chapters 2-4 - ROS Chapter 3 - MSR (focus on 3.3, 3.7, 3.10 & 3.11)
5	09-24	Simple Regression: The Linear Model	Chapter 6 - ROS Chapter 14.1 - ST Chapter 11 - LSR
6	10-01	Comparing Groups	Chapter 15 - ST
7	10-08	Variability & Model Fit	Chapter 8 - ROS Chapters 5 & 14.5 - ST Chapter 15.4 - LSR
8	10-15	Multiple Regression I: Adding Predictors	Chapter 10 - ROS
9	10-22	Multiple Regression II: Categorical Predictors + Interactions	Chapter 14.3 - ST Chapter 8.1 - MSR
10	10-29	Assumptions + Model Diagnostics	Chapter 11 - ROS Chapter 14.5 - ST Chapter 15.8 & 15.9 - LSR
11	11-05	Missing Data + Model Building/Comparison	Chapter 15.10 - LSR Chapter 17 - ST Chapters 17.3 - 17.7 - ROS Chapter 8.7 - MSR
12	11-12	Logistic Regression	Chapter 13 - ROS Chapter 8.3 - MSR
13	11-19	Mixed/Multilevel Models	Chapter 8.8 - MSR Chapter 15.8 - ST
14	11-26	THANKSGIVING - No Class	No Readings
15	12-03	Making R Work for You	Chapter 18 - ST

Regression and Other Stories –> ROS

Modern Statistics with R (2e) –> MSR

Statistical Thinking –> ST

Learning Statistics with R –> LSR

R for Data Science (2e) –> R4DS