SOCY7703

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
MCAS
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

3.85 / 5

Based on 22 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Natalia Sarkisian
    Fall 2026, Fall 2022 · Official rating 4.17/5
  • Wen Fan
    Fall 2024, Fall 2023, Spring 2022 · Official rating 4.38/5

Sections

  • Section 01
    Fall 2026 · Natalia Sarkisian · Fulton Hall 425 F 11:30AM-02:00PM · Offered