This is in regard to an article by Griffe du Lion on the alleged sociological constant regarding women math professorships.
The Graduate Record Exam (GRE) is used for admission to graduate school and scores on it are useful for comparing male/female likelihood of becoming eligible for professorship in a university math department. These d…
This is in regard to an article by Griffe du Lion on the alleged sociological constant regarding women math professorships.
The Graduate Record Exam (GRE) is used for admission to graduate school and scores on it are useful for comparing male/female likelihood of becoming eligible for professorship in a university math department. These data are more useful than tests of high school students. For recent data I could access, the average difference between men and women looks trivial and the difference in standard deviation looks trivial.
The differences in means are trivial in relation to the averages in "quantitative reasoning", 154.1 for women and 156.8 for men. Standard deviations are 9.5 for women and 9.1 for men.
The authorities withhold information on raw scores, so we do not know the true scale on which we are comparing nor the raw averages and variations. The least obscure discussion of the scale I could easily find is at "https://e-gmat.com/blogs/gre-scores/".
ETS seems too diversely talented to admit what the initial stand for on its web site (https://www.ets.org/about/who.html). Perhaps the initials no longer stand for anything and the organization's original name is an embarrassment in woke culture (https://www.ets.org/).
This is in regard to an article by Griffe du Lion on the alleged sociological constant regarding women math professorships.
The Graduate Record Exam (GRE) is used for admission to graduate school and scores on it are useful for comparing male/female likelihood of becoming eligible for professorship in a university math department. These data are more useful than tests of high school students. For recent data I could access, the average difference between men and women looks trivial and the difference in standard deviation looks trivial.
The differences in means are trivial in relation to the averages in "quantitative reasoning", 154.1 for women and 156.8 for men. Standard deviations are 9.5 for women and 9.1 for men.
We are not comparing on a scale of 157 points. According to the Wikipedia article on the GRE (https://en.wikipedia.org/wiki/Graduate_Record_Examinations), math scores are calculated to give a range of 41 points (130-170).
The organization that sells the GRE (ETS) still allows people to see limited data on scores for the years 2019-2020 (https://www.ets.org/pdfs/gre/snapshot-test-taker-data-2020.pdf).
The authorities withhold information on raw scores, so we do not know the true scale on which we are comparing nor the raw averages and variations. The least obscure discussion of the scale I could easily find is at "https://e-gmat.com/blogs/gre-scores/".
ETS seems too diversely talented to admit what the initial stand for on its web site (https://www.ets.org/about/who.html). Perhaps the initials no longer stand for anything and the organization's original name is an embarrassment in woke culture (https://www.ets.org/).