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
A data frame with 463 observations corresponding to courses on the following 13 variables.
Identification variable for course.
Identification variable for professor. Many professors are included more than once in this dataset.
Average professor evaluation score: (1) very unsatisfactory - (5) excellent.
Age of professor.
Average beauty rating of professor.
Gender of professor (collected as a binary variable at the time of the study): female, male.
Ethnicity of professor: not minority, minority.
Language of school where professor received education: English or non-English.
Rank of professor: teaching, tenure track, tenured.
Outfit of professor in picture: not formal, formal.
Color of professor’s picture: color, black & white.
Number of students in class who completed evaluation.
Total number of students in class.
Class level: lower, upper.
Çetinkaya-Rundel M, Morgan KL, Stangl D. 2013. Looking Good on Course Evaluations. CHANCE 26(2).
The data in
evals is a slight modification of
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.