Learn R Programming

IPAG (version 0.1.0)

Beauty: Beauty and teaching evaluations

Description

Dataset from Hamermesh, D. S., & Parker, A. (2005), "Beauty in the classroom: Instructors’ pulchritude and putative pedagogical productivity", Economics of Education Review, 24(4), 369–376.

Usage

data(Beauty)

Arguments

Format

A data frame with the following variables:

n

The professor’s identification number.

score

Average professor evaluation score, ranging from 1 (very unsatisfactory) to 5 (excellent).

rank

Rank of professor: teaching, tenure track, or tenured.

ethnicity

Ethnicity of professor: not minority or minority.

gender

Gender of professor: female or male.

language

Language of the school where the professor received education: English or non-English.

age

Age of the professor.

cls_perc_eval

Percentage of students in the class who completed the evaluation.

cls_did_eval

Number of students in the class who completed the evaluation.

cls_students

Total number of students enrolled in the class.

cls_level

Class level: lower or upper.

cls_profs

Number of professors teaching sections of the course in the sample: single or multiple.

cls_credits

Number of credits of the class: one credit (e.g. lab, PE) or multi credit.

bty_f1lower

Beauty rating of professor from lower-level female students (1 = lowest, 10 = highest).

bty_f1upper

Beauty rating of professor from upper-level female students (1 = lowest, 10 = highest).

bty_f2upper

Beauty rating of professor from second upper-level female students (1 = lowest, 10 = highest).

bty_m1lower

Beauty rating of professor from lower-level male students (1 = lowest, 10 = highest).

bty_m1upper

Beauty rating of professor from upper-level male students (1 = lowest, 10 = highest).

bty_m2upper

Beauty rating of professor from second upper-level male students (1 = lowest, 10 = highest).

bty_avg

Average beauty rating of the professor.

pic_outfit

Outfit of professor in picture: not formal or formal.

pic_color

Color of professor’s picture: color or black and white.

Details

The dataset examines the relationship between instructors' physical attractiveness and student evaluation scores, controlling for demographic and class characteristics.