evals

Teacher Evaluations


Overview

The data are gathered from end of semester student evaluations for a large sample of 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.


Variables

  • 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.


Loading Data

CSV Download

To access the data in R, type

download.file("http://www.openintro.org/books/statdata/evals.RData",
              destfile = "evals.RData")
load("evals.RData")

To access the data in SAS, type

filename evals url 'http://www.openintro.org/books/statdata/evals_sas.csv'