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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 05.20.22.289867 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Term | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|---|
| 1233 5223 1 001 | 001 | 5223 | Oshiro, Briana | 7/15 | Spring 2023 | Reg | Online |