Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5610. Applied Regression Analysis for the Education Sciences

3.00 credits

Prerequisites: None.

Grading Basis: Graded

Multiple regression analysis and related techniques with applications to research in education. Topics include assumptions and inference; matrix representations; diagnostics and remedial measures; polynomial regression and interaction models; treatment of categorical independent variables, autocorrelation of errors in time series data, problems of missing values and selection bias, and logistic and ordinal regression models.


Last Refreshed: 26-FEB-24 05.20.17.493673 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 9919 Storrs Online Asynchronous Kooken, Janice 001 Reg 6/15 No Room Required - Online 3.00 Graded
Spring 2024 9920 Storrs In Person Rhoads, Christopher 002 Reg We 9:30am‑12:00pm
28/30 MCHU 111 3.00 Graded
Fall 2024 8222 Storrs In Person Collier, Zachary 001 Reg Tu 9:30am‑12:00pm
0/20 GENT 325 3.00 Graded