Chapter 10: Model Diagnostics
[10a] Form & Collinearity
Topics
- Correct Form
- Perfect Predictors
- No Collinearity
Readings
- Applied Multiple Regression/Correlation Analysis, §4.1, 4.3–4.5, 10.5–10.6
- Collinearity Isn’t a Disease That Needs Curing — Jan Vanhove
Slides
*Note that you can click the three-line (hamburger) icon on the bottom-left of the slides to access a navigation menu. You can click inside the slides region and press the left and right arrow keys on your keyboard to advance and reverse the slides and animations.
Assignment
[10b] Residuals & Outliers
Topics
- Constant Error Variance
- Normal Residuals
- Independent Residuals
- Outliers
Files
Readings
- Applied Multiple Regression/Correlation Analysis, §4.1, 4.3–4.5, 10.2–10.4
- Pek, Wong, & Wong (2018), How to Address Non-normality: A Taxonomy of Approaches, Reviewed, and Illustrated — Frontiers in Psychology
- Leys et al. (2019), How to Classify, Detect, and Manage Univariate and Multivariate Outliers, With Emphasis on Pre-Registration — IRSP
Slides
*Note that you can click the three-line (hamburger) icon on the bottom-left of the slides to access a navigation menu. You can click inside the slides region and press the left and right arrow keys on your keyboard to advance and reverse the slides and animations.
Assignment
Unit D Translation Activity
A closing activity for the unit: studies described the way a researcher would describe them, for you to translate into data frames, models, and assumptions.