The data are gathered from end of semester student evaluations for a sample of 463 courses taught by 94 professors from the University of Texas at Austin. In addition, six students rate the professors' physical appearance. The result is a data frame where each row contains a different course and each column has information on either the course or the professor https://www.openintro.org/data/index.php?data=evals
Format
A data frame with 463 observations corresponding to courses on the following 13 variables.
- ID
Identification variable for course.
- prof_ID
Identification variable for professor. Many professors are included more than once in this dataset.
- score
Average professor evaluation score: (1) very unsatisfactory - (5) excellent.
- age
Age of professor.
- bty_avg
Average beauty rating of professor.
- gender
Gender of professor (collected as a binary variable at the time of the study): female, male.
- ethnicity
Ethnicity of professor: not minority, minority.
- language
Language of school where professor received education: English or non-English.
- rank
Rank of professor: teaching, tenure track, tenured.
- pic_outfit
Outfit of professor in picture: not formal, formal.
- pic_color
Color of professor’s picture: color, black & white.
- cls_did_eval
Number of students in class who completed evaluation.
- cls_students
Total number of students in class.
- cls_level
Class level: lower, upper.
Source
Çetinkaya-Rundel M, Morgan KL, Stangl D. 2013. Looking Good on Course Evaluations. CHANCE 26(2).
See also
The data in evals is a slight modification of openintro::evals().