Severn at Sailer’s wrote “Educated women tend not to have high IQ’s. The subjects they take in college do not require it. I’d say the typical “communications major” is not any more intelligent than a plumber, and is probably a good deal less so.” That sounded like something that could be investigated in the GSS.

Row: WORDSUM
Column: EDUC(r: “LT HS” 1-11; “HS” 12; “SC” 13-15; “C” 16; “GT C” 17-22)
Control: SEX

First men

Statistics for SEX = 1(MALE)
Cells contain:
Column percent
-Weighted N
EDUC
1
LT HS
2
HS
3
SC
4
C
5
GT C
ROW
TOTAL
WORDSUM 0 2.3
58.4
.7
22.3
.4
10.1
.4
7.1
.5
6.0
.9
103.9
1 4.7
117.7
1.5
49.9
.7
20.0
.7
11.9
.2
2.7
1.7
202.2
2 8.1
203.8
3.8
126.8
1.4
38.5
1.4
22.2
.6
7.9
3.5
399.3
3 15.7
395.4
7.3
244.2
3.7
104.7
1.8
28.0
1.2
15.5
6.8
787.8
4 19.1
479.9
13.9
462.4
8.6
239.3
3.8
60.6
2.7
35.1
11.0
1,277.3
5 19.8
497.5
21.9
732.4
16.6
463.5
7.6
121.0
5.3
69.5
16.3
1,883.9
6 15.8
398.8
25.8
861.5
25.2
703.6
20.6
328.3
11.4
149.4
21.1
2,441.6
7 8.7
219.3
14.2
473.9
19.7
552.5
20.9
334.0
17.0
222.0
15.6
1,801.7
8 3.3
83.4
6.5
217.0
12.6
353.3
17.3
275.9
17.8
233.0
10.1
1,162.6
9 1.7
43.5
3.4
112.8
7.2
201.2
14.4
230.7
22.8
298.0
7.7
886.1
10 .8
21.1
1.0
34.9
4.0
110.7
11.1
177.6
20.6
268.9
5.3
613.2
COL TOTAL 100.0
2,519.0
100.0
3,338.1
100.0
2,797.3
100.0
1,597.2
100.0
1,308.0
100.0
11,559.6
Means 4.49 5.43 6.26 7.11 7.83 5.93
Std Devs 1.98 1.79 1.81 1.92 1.86 2.15
Unweighted N 2,380 3,131 2,648 1,537 1,341 11,037
Summary Statistics for SEX = 1(MALE)
Eta* = .50 Gamma = .49 Rao-Scott-P: F(40,19040) = 72.37 (p= 0.00)
R = .50 Tau-b = .41 Rao-Scott-LR: F(40,19040) = 68.89 (p= 0.00)
Somers’ d* = .43 Tau-c = .42 Chisq-P(40) = 3,570.58
Chisq-LR(40) = 3,399.13

Now for women

Statistics for SEX = 2(FEMALE)
Cells contain:
Column percent
-Weighted N
EDUC
1
LT HS
2
HS
3
SC
4
C
5
GT C
ROW
TOTAL
WORDSUM 0 1.8
53.9
.6
27.3
.5
18.2
.3
5.8
.7
8.1
.8
113.2
1 4.6
135.8
1.5
73.9
.7
24.2
.4
6.6
.2
2.5
1.7
243.1
2 8.9
263.2
2.4
117.1
1.2
41.8
.5
9.0
.2
2.9
3.1
434.0
3 12.2
361.3
4.8
230.8
3.2
113.2
.9
16.1
1.8
21.2
5.2
742.7
4 17.5
517.3
10.1
485.6
6.8
240.1
3.1
53.0
2.8
33.0
9.4
1,329.1
5 20.2
599.8
19.9
956.7
16.1
567.6
8.7
148.2
5.6
66.1
16.5
2,338.4
6 18.9
559.2
25.7
1,233.1
25.6
901.8
20.5
351.0
13.0
153.4
22.6
3,198.5
7 8.5
250.9
17.6
845.7
20.1
708.0
19.7
337.8
16.8
198.2
16.5
2,340.5
8 4.0
119.2
9.2
442.6
12.8
450.6
17.5
300.1
17.4
205.1
10.7
1,517.6
9 2.7
79.3
5.3
253.3
8.0
281.0
16.0
273.3
20.6
242.1
8.0
1,129.1
10 .8
23.5
2.8
136.7
4.8
169.7
12.2
209.4
20.7
243.9
5.5
783.2
COL TOTAL 100.0
2,963.5
100.0
4,802.8
100.0
3,516.2
100.0
1,710.3
100.0
1,176.5
100.0
14,169.3
Means 4.67 5.88 6.38 7.28 7.74 6.07
Std Devs 2.01 1.86 1.83 1.80 1.92 2.10
Unweighted N 3,186 4,818 3,535 1,745 1,226 14,510
Summary Statistics for SEX = 2(FEMALE)
Eta* = .44 Gamma = .43 Rao-Scott-P: F(40,19040) = 68.22 (p= 0.00)
R = .43 Tau-b = .35 Rao-Scott-LR: F(40,19040) = 63.52 (p= 0.00)
Somers’ d* = .38 Tau-c = .36 Chisq-P(40) = 3,601.20
Chisq-LR(40) = 3,353.14

The correlation is higher for men, but that may in part be due high scores for relatively uneducated women. The only bucket in which men have higher mean wordsum scores is more than four years of college. Women have a higher mean overall, so that could throw things off. Still, in every bucket except “some college” the mean women’s score exceeds the mean men’s score by more than the difference between their overall means. Also note that the standard deviation for women is a bit lower than that of men, just as Larry Summers said.

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