SOCY 7703 Multivariate Statistics
Thiscourseassumes knowledge of the material covered in SOCY7702; that is, a solid background in Stata and a relatively recentcoursein basic statistics. Much of thecoursewill deal with multiple linear regression, including topics such as data preparation and transformations, analysis of residuals and outliers, interaction terms, linearity concerns, model fit, and interpretation of results. The course will also introduce logistic regression, mediation and panel data analyses. Thiscoursedoes not require a knowledge of matrix algebra or calculus.
Course overview
- Department
- Sociology
- School
- Boston College
- Credits
- 3
Course evaluations
- Course rating
- 3.85 / 5 · Very Good
- Instructor rating
- 4.32 / 5 · Very Good
- Terms evaluated
- 4
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2024 | Wen Fan | 4.2 | 4.4 | 4.8 | 5.0 | 4.2 | 5.0 | 4.8 | 5.0 | — | 5 of 7 |
| Fall 2023 | Wen Fan | — | — | — | — | — | — | — | — | — | 7 of 7 |
| Fall 2022 | Natalia Sarkisian | 3.2 | 4.2 | 4.0 | 3.8 | 4.2 | 4.3 | 4.0 | 4.7 | — | 6 of 11 |
| Spring 2022 | Wen Fan | 2.7 | 3.5 | 2.8 | 4.0 | 4.5 | 3.5 | 3.3 | 4.3 | 4–6 hrs/week | 4 of 12 |