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 | Prepare | Slides | Labs |
|---|---|---|---|---|---|
| 1 | 08-25 | Getting set up + R foundations | Install R/RStudio; Bring a laptop | Lab 1 - Intro to Data Workflow | |
| 2 | 09-01 | LABOR DAY | LABOR DAY | Lab 2 - Data Wrangling | |
| 3 | 09-08 | Descriptives, Visualizations + Communication | Lab 3 | ||
| 4 | 09-15 | Design, Sampling + Inference | π» Design & Inference |
Statistical Check |
|
| 5 | 09-22 | Correlation + Effect Sizes | |||
| 6 | 09-29 | Comparing Groups | |||
| 7 | 10-06 | Simple Linear Regression | |||
| 8 | 10-13 | FALL BREAK | Work on your midterm project | ||
| 9 | 10-20 | Variability & Model Fit | |||
| 10 | 10-27 | Multiple Regression I: Adding Predictors | |||
| 11 | 11-03 | Multiple Regression II: Categorical Predictors | |||
| 12 | 11-10 | Assumptions + Model Diagnostics | |||
| 13 | 11-17 | Expanding Regression | Chapter 14.2 & 14.3 - ST | ||
| 14 | 11-24 | Model Building + Comparison | Chapter 15.8 - 15.10 - LSR | ||
| 15 | 12-01 | Making R Work for You | Chapter 17 & 18 - ST | ||
| 16 | 12-08 | Wrapping Up + Workshop |
Introduction to Modern Statistics (2e) β> IMS
Learning Statistics with R β> LSR
R for Data Science (2e) β> R4DS
Modern Statistics with R (2e) β> MSR
Statistical Thinking β> ST
An Introduction to Statistical Learning (2e) β> ISL
Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond (3rd ed.) β> DA