The data are gathered from end of semester student evaluations for 463 courses taught by a sample of 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 the course and the professor who taught that course.
Format
A data frame with 463 observations on the following 23 variables.
- course_id
Variable identifying the course (out of 463 courses).
- prof_id
Variable identifying the professor who taught the course (out of 94 professors).
- score
Average professor evaluation score: (1) very unsatisfactory - (5) excellent.
- rank
Rank of professor: teaching, tenure track, tenured.
- ethnicity
Ethnicity of professor: not minority, minority.
- gender
Gender of professor: female, male.
- language
Language of school where professor received education: English or non-English.
- age
Age of professor.
- cls_perc_eval
Percent of students in class who completed evaluation.
- 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.
- cls_profs
Number of professors teaching sections in course in sample: single, multiple.
- cls_credits
Number of credits of class: one credit (lab, PE, etc.), multi credit.
- bty_f1lower
Beauty rating of professor from lower level female: (1) lowest - (10) highest.
- bty_f1upper
Beauty rating of professor from upper level female: (1) lowest - (10) highest.
- bty_f2upper
Beauty rating of professor from second level female: (1) lowest - (10) highest.
- bty_m1lower
Beauty rating of professor from lower level male: (1) lowest - (10) highest.
- bty_m1upper
Beauty rating of professor from upper level male: (1) lowest - (10) highest.
- bty_m2upper
Beauty rating of professor from second upper level male: (1) lowest - (10) highest.
- bty_avg
Average beauty rating of professor.
- pic_outfit
Outfit of professor in picture: not formal, formal.
- pic_color
Color of professor's picture: color, black & white.
Source
Daniel S. Hamermesh, Amy Parker, Beauty in the classroom: instructors’ pulchritude and putative pedagogical productivity, Economics of Education Review, Volume 24, Issue 4, 2005. doi:10.1016/j.econedurev.2004.07.013 .
Examples
evals
#> # A tibble: 463 × 23
#> course_id prof_id score rank ethnicity gender language age cls_perc_eval
#> <int> <int> <dbl> <fct> <fct> <fct> <fct> <int> <dbl>
#> 1 1 1 4.7 tenure… minority female english 36 55.8
#> 2 2 1 4.1 tenure… minority female english 36 68.8
#> 3 3 1 3.9 tenure… minority female english 36 60.8
#> 4 4 1 4.8 tenure… minority female english 36 62.6
#> 5 5 2 4.6 tenured not mino… male english 59 85
#> 6 6 2 4.3 tenured not mino… male english 59 87.5
#> 7 7 2 2.8 tenured not mino… male english 59 88.6
#> 8 8 3 4.1 tenured not mino… male english 51 100
#> 9 9 3 3.4 tenured not mino… male english 51 56.9
#> 10 10 4 4.5 tenured not mino… female english 40 87.0
#> # ℹ 453 more rows
#> # ℹ 14 more variables: cls_did_eval <int>, cls_students <int>, cls_level <fct>,
#> # cls_profs <fct>, cls_credits <fct>, bty_f1lower <int>, bty_f1upper <int>,
#> # bty_f2upper <int>, bty_m1lower <int>, bty_m1upper <int>, bty_m2upper <int>,
#> # bty_avg <dbl>, pic_outfit <fct>, pic_color <fct>