CCJS621

General Linear Models in Criminal Justice Research

Reviews for this course Testudo

Prerequisite: CCJS620. Credit only granted for: CCJS498F or CCJS621. Formerly: CCJS498F. An in-depth exploration of applied linear regression analysis. Covers characteristics of estimates, such as unbiasedness and efficiency. Encourages fluency with the theoretical issues involved in the basic linear regression using simple algebra, familiarity with the general model using matrix algebra, and fluency with the computer application of multivariate regressions and the probit/logit models.

Spring 2024

Greg Midgette

12 reviews
Average rating: 3.00

Spring 2023

Greg Midgette

12 reviews
Average rating: 3.00

Past Semesters

Laura Dugan

3 reviews
Average rating: 4.67

Kiminori Nakamura

0 reviews
Average rating: N/A

Greg Midgette

12 reviews
Average rating: 3.00

* "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.