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