Table A3

Perceptions of Monetary and Nonmonetary Discrimination

 Percent of Females in classaMales PoorlybFemales Poorly
CategoryMalesc
(1)
Femalesd
(2)
IPEDSe
(3)
Males
(4)
Females
(5)
Males
(6)
Females
(7)
Natural sciences40.539.2257.328.497.2724.0322.9
Math and computer science31.50**25.2234.127.176.5323.7129.19
Social sciences I56.56*60.361.728.5511.5612.7114.75
Social sciences II43.1342.8334.978.457.2719.927.72
Ethics and values55.3955.9839.189.5611.0112.0715.71
Area studies59.8458.1577.2710.529.8711.0713.19
Literature and fine arts64.8266.1673.1111.1911.228.9413.15
Music studies59.2557.2250.9713.0510.639.2513.16
Education and social policy66.2168.8676.2413.4716.579.8213.18
Communication studies58.7159.7257.8810.8211.911.9815.43
Engineering30.0127.2827.16.095.3425.6130.77
Journalism58.960.2271.4210.4711.6912.0316.3
  • Notes:

  • Notes: *** Gender difference significant (p- value < 0.01; two-tailed t-test);

  • ** difference significant at 5 percent;

  • * difference significant at 10 percent.

  • a Fraction of students in the major who are females (on a scale of 0–100).

  • b The average belief that males would be treated poorly in the jobs that would be available in each of the specified categories.

  • c(d) Response of male (female) survey respondents to the relevant question.

  • e Fraction of females among graduates with that major in 2005 and 2006 (source: IPEDS).