Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor Ratings
Undergraduate psychology students rated expectations of a bogus professor (randomly designated a man or woman and hot versus not hot) based on an online rating and sample comments as found on RateMyProfessors.com (RMP). Five professor qualities were derived using principal components analysis (PCA)...
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2016-09-01
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doaj-0b096697619241eba699b3b97457650e2020-11-24T23:49:38ZengLaureate Education IncHigher Learning Research Communications2157-62542016-09-016310.18870/hlrc.v6i3.328328Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor RatingsSara L. Sohr-Preston0Stefanie S. Boswell1Kayla McCaleb2Deanna Robertson3Southeastern Louisiana UniversityUniversity of the Incarnate WordSoutheastern Louisiana UniversitySoutheastern Louisiana University Undergraduate psychology students rated expectations of a bogus professor (randomly designated a man or woman and hot versus not hot) based on an online rating and sample comments as found on RateMyProfessors.com (RMP). Five professor qualities were derived using principal components analysis (PCA): dedication, attractiveness, enhancement, fairness, and clarity. Participants rated current psychology professors on the same qualities. Current professors were divided based on gender (man or woman), age (under 35 or 35 and older), and attractiveness (at or below the median or above the median). Using multivariate analysis of covariance (MANCOVA), students expected hot professors to be more attractive but lower in clarity. They rated current professors as lowest in clarity when a man and 35 or older. Current professors were rated significantly lower in dedication, enhancement, fairness, and clarity when rated at or below the median on attractiveness. Results, with previous research, suggest numerous factors, largely out of professors’ control, influencing how students interpret and create professor ratings. Caution is therefore warranted in using online ratings to select courses or make hiring and promotion decisions. http://hlrcjournal.com/index.php/HLRC/article/view/328professor ratingsbiashigher educationpsychology facultyteaching |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sara L. Sohr-Preston Stefanie S. Boswell Kayla McCaleb Deanna Robertson |
spellingShingle |
Sara L. Sohr-Preston Stefanie S. Boswell Kayla McCaleb Deanna Robertson Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor Ratings Higher Learning Research Communications professor ratings bias higher education psychology faculty teaching |
author_facet |
Sara L. Sohr-Preston Stefanie S. Boswell Kayla McCaleb Deanna Robertson |
author_sort |
Sara L. Sohr-Preston |
title |
Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor Ratings |
title_short |
Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor Ratings |
title_full |
Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor Ratings |
title_fullStr |
Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor Ratings |
title_full_unstemmed |
Professor Gender, Age, and “Hotness” in Influencing College Students’ Generation and Interpretation of Professor Ratings |
title_sort |
professor gender, age, and “hotness” in influencing college students’ generation and interpretation of professor ratings |
publisher |
Laureate Education Inc |
series |
Higher Learning Research Communications |
issn |
2157-6254 |
publishDate |
2016-09-01 |
description |
Undergraduate psychology students rated expectations of a bogus professor (randomly designated a man or woman and hot versus not hot) based on an online rating and sample comments as found on RateMyProfessors.com (RMP). Five professor qualities were derived using principal components analysis (PCA): dedication, attractiveness, enhancement, fairness, and clarity. Participants rated current psychology professors on the same qualities. Current professors were divided based on gender (man or woman), age (under 35 or 35 and older), and attractiveness (at or below the median or above the median). Using multivariate analysis of covariance (MANCOVA), students expected hot professors to be more attractive but lower in clarity. They rated current professors as lowest in clarity when a man and 35 or older. Current professors were rated significantly lower in dedication, enhancement, fairness, and clarity when rated at or below the median on attractiveness. Results, with previous research, suggest numerous factors, largely out of professors’ control, influencing how students interpret and create professor ratings. Caution is therefore warranted in using online ratings to select courses or make hiring and promotion decisions.
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topic |
professor ratings bias higher education psychology faculty teaching |
url |
http://hlrcjournal.com/index.php/HLRC/article/view/328 |
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