This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 653
Type: Topic Contributed
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #309315
Title: Accounting for Student Demographics in the Interpretation of Student Evaluation Data
Author(s): Natalie Blades*+
Companies: Brigham Young University
Address: Department of Statistics---230 TMCB, Provo, UT, 84602, USA
Keywords: ordinal data ; evaluation data
Abstract:

This presentation presents a context within which student evaluations of teaching may be more meaningfully interpreted. With five years of student evaluation data linked to student demographics and course characteristics, we demonstrate the evidence of reported confounders of student ratings: gender, teaching area, course level, course size, student grade. We use a Bayesian probit model to estimate the probability of a positive rating given demographic information on the students in the course. We conclude with guidelines for interpreting college-course-gender-etc. adjusted student evaluations.


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