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: 12-AUG-22 05.20.07.832880 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2022 6208 Storrs Online Bezirhan, Ummugul 001 Reg 12:00am‑12:00am
11/15 No Room Required - Online 3.00 Graded
Spring 2022 16638 Storrs In Person Loken, Eric 002 Reg Mo 9:30am‑12:00pm
21/20 3.00 Graded
Fall 2022 3273 Storrs Online Oshiro, Briana 001 Reg 12:00am‑12:00am
18/20 No Room Required - Online 3.00 Graded