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: 18-SEP-19 05.20.26.980339 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1198 4125 1 001 | Fall 2019 | 4125 | Storrs | In Person | Swaminathan, Hariharan | 001 | Reg | Mo 12:20pm‑2:50pm |
16/20 | GENT 325 | Graded | |
| 1203 7950 1 001 | Spring 2020 | 7950 | Storrs | Online | Loken, Eric | 001 | Reg | 0/20 | No Room Required - Online | Graded |