SOCY602

Statistics For Sociological Research II

Reviews for this course Testudo

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 2025

Amelia Branigan

20 reviews
Average rating: 4.80

Spring 2024

Monica Caudillo

0 reviews
Average rating: N/A

Past Semesters

Alan Neustadtl

2 reviews
Average rating: 4.00

Amelia Branigan

20 reviews
Average rating: 4.80

Monica Caudillo

0 reviews
Average rating: N/A

Monica Caudillo

0 reviews
Average rating: N/A

* "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.