Student Evaluation of Teaching (SET) Simulator

Created by Justin Esarey   |   based on research by Justin Esarey and N. Valdes

Instructions: Input the characteristics of the SET, the person and class being evaluated, and the way that SETs are used administratively to identify exceptionally strong and weak teaching. A percentile is the proportion of the population equal to or less than the case being evaluated; for example, a class at the 50th percentile of teaching quality is taught as well or better than 50 percent of all classes at the college/university. Correlation is the degree of positive linear relationship between two continuous variables; click this link for more details. Biases against women or required courses are subtracted from the value of Teaching Quality used to calculate SET scores.

The SET Simulator will then use computational simulation to determine the likelihood of a class with the specified true teaching quality being evaluated as exceptionally well or poorly taught. It will also show the distribution of SET scores given the specified level of teaching quality, and a sample display of the relationship between SET scores against teaching quality (with each plotted dot representing a class or section).

SET Characteristics

Technical Parameters

Personal & Class Characteristics

Is the Instructor a Woman?
Is the Class Required?

Administration Characteristics

Is another form of assessment used in addition to SETs?

Note: not all combinations of correlation choices are possible. The program will auto-adjust correlation choices if necessary.


Illustrative SET/Quality Population Data
1000 simulated cases