Male/female LAC acceptance rate differentials

<p>I will post the actual data later when I have time to fiddle with formatting, but some highlights from sorting by %Diff:

  • Harvey Mudd at 44.1% highest favor to F
  • Pomona at 59.8% highest favor to M
  • 6 schools with double-digit favor to F: Harvey Mudd, Union, Colorado, Bucknell, DePauw, Trinity (CT)
  • 12 schools with double-digit favor to M: Pomona, Middlebury, West Point, Swarthmore, Skidmore, W&L, Wesleyan, Bowdoin, Kenyon, Davidson, Amherst, Carleton
  • Single-sex colleges excluded</p>

<p>OK, here’s another math wrinkle. Positive and negative numbers that you generate from the formula in Post #40 above aren’t directly comparable. For example, a score of +10% means male favoritism, and a score of -10% means female favoritism – but not to the same degree. A school scoring +10% is not the “opposite” of a school scoring -10%. Sp “double-digit” scores don’t have the same meaning if positive and negative values are being compared.</p>

<p>Suppose School A has a 40% acceptance rate for men, and a 25% rate for women. Suppose School B has exactly opposite rates: 25% for men, 40% for women. If you work through the math, you will get a score of +60% for School A, but -37.5% for School B. For purposes of your rating, you would probably want School A and School B to generate the same scores, except with opposite signs. </p>

<p>If you want to compare schools that favor men vs. schools that favor women, it would be better to use two different formulas. </p>

<p>Use (M / F * 100) - 100 at schools that favor men
Use (-1) * (F / M * 100) - 100 at schools that favor women </p>

<p>The -1 is arbitrarily included in the second formula, so that schools that favor women will get negative scores. Schools that favor men will get positive scores. </p>

<p>With these formulas, Schools A and B have exactly opposite acceptance rates and exactly opposite scores: +60% at School A and -60% at School B. </p>

<p>If you use this approach, Harvey Mudd gets a score of -78.8%. Harvey Mudd actually favors women to an even greater extent than Pomona (+59.8 %) favors men. In fact, the most extreme differences in gender acceptance rates may well be the female favoritism shown by some tech schools. For example, MIT and Caltech would both get triple-digit negative scores (< -100%), because the female acceptance rates are more than double the male acceptance rates.</p>

<p>Here’s a list using Corbett’s formula, sorted by % difference in male/female admission rates.</p>

<p>


**Rank   School          Coed AR M AR    F AR    F-M D   % Diff**
14  Harvey Mudd 31.1%   29.7%   53.1%   23.4%   78.8%
6   Pomona          15.6%   20.3%   12.7%   -7.6%   59.8%
4   Middlebury  16.8%   20.3%   14.4%   -5.9%   41.0%
14  West Point  15.7%   16.6%   12.0%   -4.6%   38.3%
3   Swarthmore  15.7%   18.8%   13.7%   -5.1%   37.2%
46  Skidmore    29.8%   34.7%   27.3%   -7.4%   27.1%
14  W&L             16.8%   18.7%   15.2%   -3.5%   23.0%
13  Wesleyan    27.2%   30.4%   25.0%   -5.4%   21.6%
6   Bowdoin         18.6%   20.5%   16.9%   -3.6%   21.3%
33  Kenyon          31.3%   34.4%   29.0%   -5.4%   18.6%
8   Davidson    25.7%   28.0%   23.7%   -4.3%   18.1%
43  Union           39.2%   36.5%   42.5%   6.0%    16.4%
24  Colorado    26.0%   23.9%   27.8%   3.9%    16.3%
2   Amherst         14.8%   16.0%   13.8%   -2.2%   15.9%
30  Bucknell    29.9%   27.8%   32.0%   4.2%    15.1%
43  DePauw          64.6%   61.7%   70.0%   8.3%    13.5%
8   Carleton    27.5%   29.3%   26.0%   -3.3%   12.7%
36  Trinity (CT)    41.7%   39.1%   44.0%   4.9%    12.5%
49  Reed            32.5%   30.6%   33.9%   3.3%    10.8%
14  Grinnell    43.0%   40.8%   44.9%   4.1%    10.0%
22  Colby           30.9%   29.5%   32.1%   2.6%    8.8%
36  Sewanee         64.0%   61.5%   66.5%   5.0%    8.1%
46  Centre          62.8%   60.5%   64.9%   4.4%    7.3%
25  Bates           29.2%   30.3%   28.3%   -2.0%   7.1%
43  F&M         35.9%   34.6%   37.0%   2.4%    6.9%
46  Dickinson   44.2%   42.7%   45.3%   2.6%    6.1%
21  Hamilton    28.1%   27.2%   28.8%   1.6%    5.9%
1   Williams    17.0%   17.4%   16.6%   -0.8%   4.8%
11  CMC         19.1%   22.2%   21.4%   -0.8%   3.7%
22  Oberlin         32.7%   33.3%   32.2%   -1.1%   3.4%
49  Pitzer          22.3%   22.7%   22.1%   -0.6%   2.7%
40  Furman          57.3%   58.0%   56.7%   -1.3%   2.3%
30  Richmond    31.7%   32.1%   31.4%   -0.7%   2.2%
49  Gettysburg  37.8%   38.1%   37.6%   -0.5%   1.3%
19  Colgate         23.9%   24.1%   23.8%   -0.3%   1.3%
49  St. Olaf    58.9%   58.5%   59.2%   0.7%    1.2%
36  Holy Cross  33.8%   33.6%   33.9%   0.3%    0.9%
36  Whitman         45.8%   46.0%   45.6%   -0.4%   0.9%
10  Haverford   27.0%   27.1%   26.9%   -0.2%   0.7%
29  Macalester  41.1%   41.0%   41.3%   0.3%    0.7%</p>

<p>4   Wellesley   36.0%   0.0%    36.0%   36.0%   n/a
11  Vassar          25.0%   n/a n/a n/a n/a
18  Smith           47.7%   0.0%    44.7%   44.7%   n/a
19  Naval Academy   13.9%   n/a n/a n/a n/a
25  Mt. Holyoke 52.6%   0.0%    52.6%   52.6%   n/a
25  Bryn Mawr   48.8%   0.0%    48.8%   48.8%   n/a
25  Scripps         43.4%   0.0%    43.4%   43.4%   n/a
30  Barnard         28.5%   0.0%    28.5%   28.5%   n/a
33  Occidental  39.4%   n/a n/a n/a n/a
35  Lafayette   37.2%   n/a n/a n/a n/a
40  Bard            25.2%   n/a n/a n/a n/a
42  Connecticut 36.6%   n/a n/a n/a n/a


</p>

<p>Keil, are you a student or professional college counselor? With almost 3,000 posts and very granular analysis, it sort of begs the question.</p>

<p>^Really? I am honored. I suspect a professional college counselor wouldn’t give out quite so much information for free. XD (Or use emotes as gratituously as I do.)</p>

<br>

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<p>Data I’ve seen indicates that male and female college-bound seniors have very similar mean GPAs, but males have higher mean SATs (with a narrow advantage in CR and a wider one in Math).</p>

<p>Other data I’ve seen suggests that SAT scores are more strongly correlated with success in college for women than for men. I don’t know if SAT scores also are more strongly correlated with high school grades among girls than among boys.</p>

<p>Sources:
<a href=“http://www.ets.org/Media/Research/pd...n_allspach.pdf[/url]”>http://www.ets.org/Media/Research/pd...n_allspach.pdf&lt;/a&gt;
[SAT</a> and Gender Differences](<a href=“http://professionals.collegeboard.com/data-reports-research/cb/sat-gender-differences]SAT”>Higher Education Professionals | College Board)</p>

<p>I’m sure there is much about these differences that is simply not well understood. However, I suspect attitudinal differences play a significant part in any higher incidence of males whose grades don’t measure up to their test scores.</p>

<p>Just this morning, without having seen this thread, I was comparing the male / female admit rates at various schools. The differential at a few of these schools is astounding! Since I have boy / girl twins applying to schools this year, this is very much a good news / bad news scenario for us.</p>

<p>It seems to me that if schools are taking active steps to maintain some level of gender balance, that this would mean that they have to take either lower-stat males or lower-stat females.<br>
And if a highly selective school were truly gender-neutral, it seems to me that you would expect some significant fluctuation from year to year in the composition of your admitted pool. Is that the case in places that say they are gender-neutral?</p>

<p>

</p>

<p>It could be a bad news/bad news scenario depending on what they are interested in. Hopefully your son is interested in the humanities and your daughter is interested in math. Then … problem solved.</p>

<p>well, my point was that on the one hand, the news that more boys are accepted makes me happy, but on the other, that fewer girls are accepted makes me sad! :-)</p>