Schedule
The calendar below lists the tentative course topics. The dates listed are subject to change at the instructor’s discretion.
The readings indicate chapters in the Zieffler, A. (2024) textbook. These should be read prior to class. There also might be articles, papers, etc. that you will need to read during the semester. These will be emailed to you. (Most articles are also accessible through the University of Minnesota library website. In order to access the full text of some of the articles, you will need to log in using your University x500 username and password.)
| M/W | T/R | Reading | Topic/In-Class Materials | Script | ||
|---|---|---|---|---|---|---|
| Spt. 04 | Spt. 03 | Welcome to EPsy 8251 | ||||
| Unit 01: Introduction to Statistical Computing | ||||||
| Spt. 09 | Spt. 05 | Ch. 1–3 | Introduction to R and RStudio | |||
| Spt. 11 | Spt. 10 | Ch. 4 | Data Wrangling with dplyr | |||
| Spt. 16 | Spt. 12 | Ch. 5 | Visualizing Data with ggplot2 | |||
| Unit 02: Introduction to Regression | ||||||
| Read the following article: Clayton, A. (2020, Oct. 28). How eugenics shaped statistics: Exposing the damned lies of three science pioneers. Nautilus, 92 (Frontiers). | ||||||
| Spt. 18 | Spt. 17 | Ch. 6–7 |
Data Exploration for Regression Simple Linear Regression and Correlation |
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| Spt. 23 | Spt. 19 | |||||
| Spt. 25 | Spt. 24 | Ch. 8–9 |
Ordinary Least Squares (OLS) Estimation ANOVA Decomposition and R2 |
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| Spt. 30 | Spt. 26 |
Simple Regression Practice Simple Regression Practice – KEY |
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| Unit 03: Regression Inference | ||||||
| Read the following article: Amrhein, V., Greenland, S., & McShane, B. (2019). Comment: Retire statistical significance. Nature, 567, 305–307. | ||||||
| Oct. 02 | Oct. 01 | Ch. 11 | Coefficient-Level Inference | |||
| Oct. 07 | Oct. 03 | |||||
| Oct. 09 | Oct. 08 | Ch. 12 | Model-Level Inference | |||
| Oct. 14 | Oct. 10 | |||||
| Oct. 16 | Oct. 15 | Ch. 13 | Assumptions Underlying the Regression Model | |||
| Oct. 21 | Oct. 17 | |||||
| Oct. 23 | Oct. 22 | NO CLASS—Mental Health Day 🛌 🍷 | ||||
| Unit 04: Multiple Regression | ||||||
| Oct. 28 | Oct. 24 | Ch. 14–15 | Introduction to Multiple Linear Regression/Multiple Regression: ANOVA Decomposition |
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| Oct. 30 | Oct. 29 | |||||
| Nov. 04 | Oct. 31 | Ch. 16 | Understanding Statistical Control | |||
| Nov. 06 | Nov. 05 | |||||
| Nov. 11 | Nov. 07 | Ch. 17 | Assumptions: Multiple Regression | |||
| Unit 05: Categorical Predictors | ||||||
| Nov. 13 | Nov. 12 | Ch. 18 | Dichotomous Categorical Predictors | |||
| Nov. 18 | Nov. 14 | |||||
| Nov. 20 | Nov. 19 | Ch. 19 | Polychotomous Categorical Predictors | |||
| Nov. 20 | Nov. 19 | |||||
| Read the following article: Aschwanden, C. (2019). Science isn’t broken: It’s just a hell of a lot harder than we give it credit for. Fivethirtyeight. | ||||||
| Nov. 25 | Nov. 21 | Ch. 20 | Multiple Comparisons | |||
| Dec. 02 | Nov. 26 | |||||
| Nov. 27 | Nov. 28 | NO CLASS—Thanksgiving Break 🦃 🌽 🥧 | ||||
| Unit 06: Interaction Effects | ||||||
| Read the following article: Brambor T., Clark, W. R., & Golder, M. (2006). Understanding interaction models: Improving empirical analyses. Political Analysis, 14(1), 63–82. doi:10.1093/pan/mpi014. | ||||||
| Dec. 04 | Dec. 03 | Ch. 21–22 | Introduction to Interaction Effects/More Interaction Effects |
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| Dec. 09 | Dec. 05 | |||||
| Dec. 11 | Dec. 10 | |||||