SCWK 9960 Regression Analysis for Social and Behavioral Sciences
Required for all Doctoral Students. This course assumes knowledge of basic statistical concepts used in social research including centrality and dispersion, correlation and association, probability and hypothesis testing, as well as experience of using common statistical package such as SPSS, SAS or STATA. The course will focus on regression-based methods for analyzing quantitative social and behavioral science data using STATA. The topics include multiple regression analysis, major regression diagnostics, and logistic regression analysis for categorical dependent variables.
Course overview
- Department
- Social Work
- School
- SSW
- Credits
- 3
- Level
- Graduate
- Offered
- Every Spring
Course evaluations
- Course rating
- 4.98 / 5 · Excellent
- Instructor rating
- 4.76 / 5 · Excellent
- Terms evaluated
- 5
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Indrani Saran | 5.0 | 5.0 | 5.0 | 5.0 | 4.9 | 5.0 | 5.0 | 4.9 | 4–6 hrs/week | 8 of 13 |
| Spring 2026 | Spencer Sandberg | 5.0 | 4.9 | 5.0 | 5.0 | 4.9 | 5.0 | 5.0 | 4.9 | 4–6 hrs/week | 8 of 13 |
| Spring 2025 | Indrani Saran | 5.0 | 5.0 | 4.8 | 5.0 | 5.0 | 5.0 | 5.0 | 4.8 | — | 5 of 8 |
| Spring 2024 | Indrani Saran | 5.0 | 5.0 | 5.0 | 5.0 | 4.8 | 4.8 | 4.8 | 4.8 | — | 6 of 13 |
| Spring 2024 | James Hodges | 5.0 | 4.5 | 5.0 | 5.0 | 4.8 | 4.8 | 4.8 | 4.8 | — | 6 of 13 |
| Spring 2023 | Indrani Saran | 5.0 | 5.0 | 4.9 | 4.9 | 4.9 | 5.0 | 5.0 | 5.0 | — | 9 of 12 |
| Spring 2023 | James Hodges | 5.0 | 4.0 | 4.9 | 4.9 | 4.9 | 5.0 | 5.0 | 5.0 | — | 9 of 12 |
| Spring 2022 | Indrani Saran | 4.7 | 5.0 | 4.3 | 4.7 | 4.7 | 5.0 | 5.0 | 5.0 | — | 3 of 7 |