Abstract
University students often complete evaluations of their courses and instructors. The evaluation tool typically contains questions about the course and the instructor on an ordinal Likert scale. We assess instructor effectiveness while adjusting for known confounders. We present a probit regression model with a latent variable to measure the instructor effectiveness accounting for student specific covariates, such as student grade in the course, high school and university GPA, and ACT score.
Degree
MS
College and Department
Physical and Mathematical Sciences; Statistics
Rights
http://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Butler, Allison M., "Hierarchical Probit Models for Ordinal Ratings Data" (2011). Theses and Dissertations. 2656.
https://scholarsarchive.byu.edu/etd/2656
Date Submitted
2011-06-27
Document Type
Selected Project
Handle
http://hdl.lib.byu.edu/1877/etd4520
Keywords
Bayesian, probit, ordinal
Language
English