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 | ||
| 2 | 09-03 | R Foundations + Data Wrangling | Lab 1 Lab 2 |
|
| 3 | 09-10 | Descriptives, Visualizations + Communication | Lab 3 | |
| 4 | 09-17 | Design, Sampling + Inference |
Chapter 3 - MSR (focus on 3.3, 3.7, 3.10 & 3.11) |
Lab 4 |
| 5 | 09-24 | Simple Regression: The Linear Model | 💾Class Check | |
| 6 | 10-01 | Comparing Groups | Chapter 15 - ST | Lab 5 & 6 |
| 7 | 10-08 | Variability & Model Fit | Lab 7 💾Class Check |
|
| 8 | 10-15 | Multiple Regression I: Adding Predictors | Chapter 10 - ROS | Lab 8 |
| 9 | 10-22 | Multiple Regression II: Categorical Predictors + Interactions | 💾Class Check | |
| 10 | 10-29 | Assumptions + Model Diagnostics | Midterm | |
| 11 | 11-05 | Missing Data + Model Building/Comparison | Lab 9 💾Class Check M1 11-06 |
|
| 12 | 11-12 | Logistic Regression | Lab 10 M2 11-15 |
|
| 13 | 11-19 | Mixed/Multilevel Models | Lab 11 💾Class Check |
|
| 14 | 11-26 | THANKSGIVING - No Class | No Readings | |
| 15 | 12-03 | Making R Work for You | Chapter 18 - ST | Rep. Swap M3 11-30 |
📁 Final Project Due 12-11 @ 11:59pm
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