| Term | Evaluations | Course rating | Instructor rating |
|---|---|---|---|
| Fall 2024 | 1 | 4.2 | 4.4 |
| Fall 2023 | 1 | 4.9 | 4.9 |
| Fall 2022 | 1 | 3.2 | 4.2 |
| Spring 2022 | 1 | 2.7 | 3.5 |
| Spring 2021 | 1 | 3.7 | 4.9 |
| Spring 2020 | 1 | 3.4 | 3.9 |
This applied course is designed for students in sociology, education, nursing, organizational studies, political science, psychology, or social work with a prior background in statistics at the level of SOCY7703 Multivariate Statistics. It assumes a strong grounding in multivariate regression analysis. The major topics of the course will include OLS regression diagnostics, binary, ordered, and multinomial logistic regression, models for the analysis of count data (e.g., Poisson and negative binomial regression), treatment of missing data, and the analysis of clustered and stratified samples. Familiarity with Stata is required for this course.
Estimated from the original workload response buckets. Individual sections may differ.
Written reviews 0
No written reviews yet
Numerical ratings and written feedback are separate. Be the first to share what you wish you’d known before taking this course.