evals: Teaching evaluations at the UT Austin

In moderndive/moderndive: Tidyverse-Friendly Introductory Linear Regression

Teaching evaluations at the UT Austin

Description

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

Usage

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().

moderndive/moderndive documentation built on April 22, 2024, 5:31 p.m.