SOCY602

Statistics For Sociological Research II

Prerequisite: SOCY601; or students who have taken courses with comparable content may contact the department. Restriction: Permission of instructor. Credit only granted for: SOCY602 or SURV602. This course introduces regression analysis using matrix algebra. Topics include bivariate regression, multivariate regression, tests of significance, regression diagnostics, indicator variables, interaction terms, extra sum of squares, and the general linear model. Other topics may be addressed such as logistic regression and path analysis. Statistical programming software may be used.

Spring 2026

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Spring 2025

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Average rating: 5.00

Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.85 between 128 students*

SOCY602 Grade Distribution+-051015202530354045505560657075808590% of studentsABCDFWother
A-: 5.47%
A: 35.16%
A+: 48.44%
B: 2.34%
B+: 3.91%
C+: 0.78%
W: 1.56%
other: 2.34%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.