Name:

Description:

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. https://www.openintro.org/stat/data/?data=evals

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.

Link To Google Sheets:

Rows:

Columns:

Files:

License Type:

References/Notes/Attributions:

Source

Cetinkaya-Rundel M, Morgan KL, Stangl D. 2013. Looking Good on Course Evaluations. CHANCE 26(2). http://chance.amstat.org/2013/04/looking-good

R Dataset Upload:

Use the following R code to directly access this dataset in R.

R Coding Interface: