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evals: Professor evaluations and beauty

Description

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.

Usage

evals

Arguments

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.

Examples

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evals

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