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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: 08-DEC-23 AM
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Section Class Number Notes Instructor Enrollment Term Session Instruction Mode
001 5223 Oshiro, Briana 7/15 Spring 2023 Reg Online