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Title: Women and Mathematics


1
Women and Mathematics
  • Jean E. Taylor
  • F?? Visiting Scholar
  • Courant Institute of Math Sciences, NYU
  • math.rutgers.edu/taylor

2
Pop quiz (now, 20 40 yrs ago)
  • 1. a. What percentage of bachelors degrees in
    math is now awarded to women (in U.S.)?
    b. Same for Ph.D. degrees?
  • 2. In studies of math talented youth (e.g. at
    age 13, scoring over 700 on math SAT), what is
    the ratio of boys to girls?
  • 3. What kinds of cognitive differences have been
    found by scientific studies? In particular, how
    different are spatial abilities?
  • 4. What percentage of tenured positions at
    doctoral-degree-granting math departments (in
    American universities) is held by women?

3
Some faces of women in math
  • Becca Thomases

Cynthia Rudin
Jean Steiner
(at NYU last year)
A picture is worth a thousand words but takes
up 300 times the memory.
4
4 years of math in high school?
  • 1998 sex differences in high school math
    participation (including calculus) had
    disappeared. (Still differences in optional
    courses like statistics, in 1990.)
  • 1960 33 of boys, 9 of girls
  • Sells 1973 study of random sample of freshmen
    entering UC Berkeley 57 of males, 8 of
    females. (Lots of publicity!)
  • But 1972 large national study 39 of males, 22
    of females. (Little publicity!)

5
Percentage of bachelors degrees in math now
going to women?
  • Answer About 50.
  • Earlier data
  • 1949-50 24 of all BA degrees to women, 23 of
    BA degrees in math to women.
  • 1976-77 46 of BA degrees to women, 42 in math
    to women.
  • Grades of women in similar math courses are at
    least as good as mens.
  • Big difference is in physics and engineering
    often lumped with math. More on that later

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But (NYTimes, 7/9/06),across all fields The
idea that girls could be ahead is so shocking
that they think it must be a crisis for boys,
Ms. Mead said. Im troubled by this tone of
crisis. Even if you control for the field theyre
in, boys right out of college make more money
than girls, so at the end of the day, is it
grades and honors that matter, or something else
the boys may be doing? Or something the hirers
are doing? Ill come back to that later.
7
Ph.D.s in math to women?
  • Now about 30
  • 1968 (e.g.,by my count, from published names)
    6.

8
Alice Chang
Ingrid Daubechies
Tenured women in math at Princeton University (2
of 32)
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NYAS symposium on The Nature and Nurture of Women
in Science April 4,2005, from summary of talk of
Richard Haier, UC Irvine Bell curves of male and
female IQ scores "essentially completely
overlap," Haier said. This overlap can be found
in bell-curve graphs of measures of many
cognitive functions, including visual, spatial,
and mathematical reasoning. "But the
controversy," he said, "is why there are so many
more men out there on the extreme than
women.Test-score statistics, however, point to
a considerable difference in the numbers per
gender of extremely able people in math
reasoningpeople who fill the top ranks of
scientists in certain fields. Some studies have
suggested that the ratio of males to females with
extreme math-ability is 10 to 1. Though that
number may not be completely accurate, Haier
said, it suggests the scale of the difference.
BUT IT DOES NOT, and HIS GRAPHS (below) ARE NOT
BASED ON ANY DATA!
10
Math-talented youth
  • Benbow and Stanley (1980, 1983) (Johns Hopkins
    data) malefemale ratio among 13-year-olds
    scoring over 700 on math SAT was 131. Huge
    publicity!
  • Subsequent Johns Hopkins data, Duke data have
    showed decreasing ratios by late 1990s, down to
    under 31 (2.81) (I dont know of any more
    recent data). No sign that not still falling.
  • Furthermore B-S Methods did not ensure
    representative sampling other issues.

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  • Ms. Benbow, a widely published scholar, said she
    stood completely by the research in the three
    articles (Education Week 2006)
  • She doesnt talk about the more recent data.
  • She made her reputation on these studies she was
    recently appointed to National Science Board by
    Pres. Bush and confirmed by the Senate
  • Newspapers and magazines, and even one author in
    Gender Differences in Mathmatics, still use only
    the 131 figure!

12
Cathleen Morawetz, Marsha Berger, Margaret Wright
all at NYU, all members of the National Academy
of Sciences. Morawetz got a National Medal of
Science big Canadian prize
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From the NYAS symposium
  • Linda Gottfredson, professor in the School of
    Education and affiliated faculty in the
    University Honors Program at the University of
    Delaware, however, argued that innate gender
    differences are very clearso clear, in fact,
    that a goal of gender parity in all professions
    seems unrealistic. Specifically, she said, male
    minds show a bias toward interest in things,
    while female minds are interested in people,
    creating what she called a genetic "tilt" that
    affects the types of careers they choose. In this
    light, supporting an idea of infinite human
    malleability "ignores both womens own
    preferences and the huge challenges they face
    when committed to having both children and
    careers."

I will show that innate gender differences are
NOT at all clear! And women DO prefer math as
much as men! Issue of childrencareers is big,
not just for scientists.
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What kinds of cognitive differences found by
scientific studies?
  • No difference between males and females on
    measures like paper folding, embedded figures,
    two-dimensional rotation where required to reason
    about spatially present information large
    differences for tasks requiring the rapid mental
    rotation of 3-D objects presented as 2-D
    drawings.
  • (1985 Linn and Petersen meta-analysis on on
    available studies.
  • Significant difference on math SAT (one-half a
    standard deviation)

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From Haiers NYAS talk
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Major difference between men and women men
produce more testosterone, all the time women
more progesterone and estrogen, in a monthly
cycle.
Biochemical pathways for hormones, from The
Female Brain
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Research since the Linn-Peterson meta-analysis
indicates that differences with regard to mental
rotation have diminished and are amenable to
instruction. (from The Female Brain book)
Longitudinal studies show that spatial abilities
are related to early experiences such as the
amount of time spent playing with blocks.
Mental rotations of actual 3D objects, rather
than 2D pictures, show no gender difference (from
Gender Differences in Mathematics).
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  • What does all this have to do with how women do
    mathematics? There are very rarely any strong
    relationships between measures of spatial
    reasoning and measures of mathematical
    achievement when general ability is controlled
    many literature reviews have concluded there is
    no relationship.
  • Also, there is more than one way to do math.
  • (driving around Princeton anecdote)

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  • SAT items that produced the greatest gender
    differences for U.S. students produced no gender
    differences for Chinese and Japanese students.
    (Byrnes, 2004). (Japanese and Chinese
    elementary school children tend to disagree with
    statements like The tests students take show how
    much or how little natural ability they have.
    U.S. children tend to agree. (Stevenson, Stigler
    et al.,Learning Gap))

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What makes some research much better than other?
  • Peer-reviewed (by experts chosen NOT by the
    author but by an impartial authority such as a
    journal editor) and published in a journal or
    series known to have high standards
  • Replicable other people can redo the
    experiment, or the steps of the proof, etc.
  • References are relevant to the case cited, graphs
    based on real data, etc.
  • Up-to-date, state-of-the-art

22
More myths unsupported by data
(from Los Angeles Times article reprinted in Cape
Cod Times, October 8, 2006)
  • The sexes see and hear quite differently.
    Fact No evidence from peer-reviewed studies
  • Women use both sides of brain more symmetrically
    due to larger corpus callosum. Fact No
    statistically significant differences in size or
    shape of corpus callosum.
  • Boys biologically programmed to focus on
    objects, girls on people. Fact This idea based
    on one study of day-old babies, demolished by
    experts. (experiment lacked critical controls,
    including fact that day-old infants cant hold up
    their heads independently, and were seated on
    parents laps)
  • Boys deductive, girls inductive. Fact (once
    its peer-reviewed!) data on 1,000s finds no
    difference.

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Stereotype Threat anxiety about confirming a
negative stereotype of one's gender or other
social category
  • The threat of being personally reduced to these
    gender stereotypes can evoke a disruptive state
    that undermines womens math performance.
  • (Davies Spencer in Gender Differences in
    Mathematics)
  • Biological basis seems to be increase in cortisol
    levels, which can be measured even when subjects
    say they dont feel anxious (Ben-Zeev et al).

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  • Joshua Aronson, NYU
  • Nature made us very cultural animals, and
    cultural environment (like the stereotype that
    girls don't like math) has an impact on
    performance. In particular, it affects test
    performance.

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How to study stereotype threat?
  • Tell students prior to test that this test in the
    past has revealed no gender differences. (Dont
    tell control group that.) Then women in control
    group underperformed men, but no such deficit if
    told no gender difference (Spencer et al 1999).
  • Tell students the test is not diagnostic of their
    math abilities. Again, completely eliminated
    deficit (Davies, et al 2002)

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Different social identities
  • Asian-American females completed a questionnaire
    prior to taking difficult math test questions
    were of type how many generations lived in
    America, or is your dormitory coed or single
    sex? or neither. Those primed on Asian-American
    identity did better than control group those on
    gender identity, worse.

28
  • Another experiment some subjects told math
    problems were developed for SAT control group
    didnt refer to SAT, and were told men and women
    performed equally well on the test.
  • Women in first group were less able to formulate
    effective problem-solving strategies,
    underperformed men women in the other group
    performed equally well as men. (Note the SAME
    test problems were given.)
  • Another experiment 3 person groups. When all
    women, women did best, did worse for each man
    included in group.

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  • Highly practiced or automated skills are the
    ones that resist disruption by stressful
    circumstances so little effect of stereotype
    threat on easy tests, consistent with the gender
    differences in processing reported..
  • The negative consequences may be most striking
    for ..highly invested and skilled

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The priming can be as simple as checking a box
indicating gender before or after taking the AP
Calculus test. Since women normally experience
stereotype threat, this is a very conservative
test. Yet women who indicated gender before
scored significantly lower than those who did so
after. (Stricker 1998). (There is continuing
debate over size of the effect, but it is
statisitically significantScience 6/2/06,
p.1310) The reality of stereotype threat is
disconcerting (Ben-Zeev et al) especially when
it might be enhanced by something as simple as
checking a box.
32
NYTimes, 10/5/06 Stereotype threat and
aging The idea is to flash provocative words too
quickly for people to be aware they read them.
.In her first study, Dr .Levy tested the memories
of 90 healthy older people. Then she flashed
positive words like guidance, wise, alert,
sage and learned and tested them again. Their
memories were better and they even walked faster.
Next, she flashed negative words like dementia,
decline, senile, confused, and decrepit.
This time her subjects memories were worse, and
their walking paces slowed In his Thomas Hess
studies, older people did significantly worse on
memory tests if they were first told something
that would bring to mind aging stereotypes. It
could be as simple as saying the study was about
how aging affects learning and memory. They did
better on memory test if Dr. Hess first told them
something positive, like saying that there was
not much of a decline in memory with age.
33
It turned out that the people who had more
positive views about aging were healthier over
time. They lived an average of 7.6 years longer
than those of a similar age who did not hold such
views
34
Tenured women in mathematics at Rutgers between
1973 and 2002
Jane Scanlon Tilla Klotz Milnor Weinstein
Not pictured Helen Nickerson, Joanne Elliott,
Katherine Hazard, Barbara Osofsky, Amy Cohen, me.
Ingrid Daubechies came briefly as tenured
professor.
35
What percentage of tenured positions in the
doctoral math departments held by women?
  • 16 of 300 tenured faculty members are female at
    the top 10 math departments (a little over 5).
  • Doctoral programs in general tenured faculty
    under 7 female
  • In colleges in general, tenured mathematics
    faculty are 17 female, tenure-eligible are 31
    female, and other full-time faculty are 47
    female

36
Reasons so few?
  • Constant stereotype threat. Always feel under
    suspicion.
  • Death of a thousand cuts (Virgina Valian, Why so
    few?)
  • Women, if turned down on a grant proposal, often
    do not submit again men do. Women dont apply at
    many of the top places in proportion to their
    numbers. Maybe life is tough enough for women
    math researchers asking for possible additional
    failure is something to avoid, in order to
    preserve that important confidence, keep cortisol
    levels down.

37
  • Family issues following husbands, prime
    child-bearing years are same as grad school,
    post-doc, and tenure-earning years.
  • Yet most women mathematicians I know are
    married and have had children at various states
    in their careers Tilla Weinstein had kids while
    in grad school Joan Birman went to grad school
    after her children were grown.
  • Still, child care is a fundamental, central
    issue.

38
A speculation from Gender Differences in ..
Females may be less likely to develop the
intense, almost obsessive involvement with
mathematics that may well be critical to truly
outstanding achievementFor men in the Terman
study, the breadth of interests was a negative
predictor of career success, and women ..had
broader interests. The culture of the U.S. places
a high value on being a well-rounded individual,
and this continues to be even more true for women
than for men. But again, many
ways to do math. From a friend This sort of
thing reminds me of the time that I was walking
across campus thinking about math when someone
(male, who I did not know) interrupted my
thoughts by telling me to smile. Sometimes I
think intense involvement with anything is
incompatible with accepted behavior for women.
39
  • With respect to traditionally masculine domains
    such as math and science, the parents and
    teachers of equally gifted children underestimate
    girls talent and overestimate boys talent (Yee
    and Eccles, 1988)
  • Societal expectation that women should be nice.
    e.g. (NYT, 9/5/06) instant replay to challenge
    line calls at US Open Tennis. Through 9/3, men
    challenged 73 calls, women 28. Men were
    successful 32 of the time and women 36 of the
    time.

40
Women in political office (NYTimes Mag.,
10/29/06) To be sure, these candidates will not
win or lose their races on the basis of their sex
alone. Talent on the stump, credentials and
fund-raising will be decisive. The fact that they
have the opportunity to make their case, however,
speaks to Western states receptivity to women in
public life. That legacy dates back to the
pioneer era and was partly born of necessity. The
agricultural model of the ranch unlike, say,
the Southern plantation often demanded that the
sexes work side by side. Western states were the
first to grant female suffrage, and allowing
women access to the ballot was followed by
electing them to high office the first U.S.
congresswoman hailed from Montana, the first
female state senator from Utah. To this day,
political parties in Western states tend to be
more open to women than the networks that reign
in parts of the East Coast. The process for
getting on the ballot isnt as transparent in
states with entrenched machines, says Debbie
Walsh, director of the Center for American Women
and Politics at Rutgers University. She points to
her home state, New Jersey, where county chairmen
and they are almost always men often
determine who will run. In part because those
decisions are generally made behind closed doors,
it makes it harder for women to get involved,
Walsh says. Indeed, NJ and Massachusetts two
states with strong machines have all-male
Congressional delegations, despite their
progressive political leanings. JUST LIKE MATH
DEPTS THAT ARE ALL MALE!
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  • How to enable greater participation of women in
    research in math, physics, and other sciences is
    the subject of much on-going study. See in
    particular InterAcademy Council report Women for
    Science.

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p. 3, Women for Science, InterAcademy
Council It has been hypothesized that the
high-level aptitude that characterizes top
scientists and engineers might not be commonly
found in women (Summers, 2005). Yet although
there is a substantial body of psychological and
brain research that verifies some differences
between mens and womens mental processes, these
differences have not been linked conclusively to
ST aptitude (Hyde et al., 1990 Leahey and Guo,
2001). That being the case, the clearing of
existing, well-documented hurdles appears to be a
more practical approach than speculating on
womens innate aptitudes. Hyde, J., E. Fennema
and S. Lamon. 1990. Gender differences in
mathematics performance A meta-analysis.
Psychological Bulletin,107(2) 139-155. Leahey,
E., and G. Guo. 2001. Gender differences in
mathematical trajectories. Social Forces 80
713-732.
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My favorite women in mathematics my daughters!
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What about physics, engineering, computer science?
  • Low number of female majors in those subjects is
    an object of current study
  • Math courses are often required girls realize
    that they can do math, so may keep doing it.
    Physics is optional girls may worry about male
    advantage in physics (I sure did).
  • Remember stereotype threat females are less
    confident about math (even when doing equally
    well). Odds of becoming a science major 5 times
    as great for math confident vs. anxious.
  • Also (affecting both sexes) these subjects (and
    math!) usually give lower grades ( have less
    grade inflation) than other subjects.

45
Barnard College 1986 study
  • Mean QSAT of ALL Barnard students was higher than
    mean of all U.S. males receiving bachelors
    degrees IN PHYSICAL SCIENCES. So Barnard students
    are capable of earning physical science degree.
    Yet 45 degrees in physical sciences out of 1074,
    and 0 degrees in math. And more phys.sci. majors
    from group initially uninterested in phys.sci.
    than those initially interested!
  • Strong influence of math confidence/anxiety,
    independent of QSAT scores (some very high
    performers had very low math confidence).

46
Yet small Mount Holyoke College (2000 undergrads)
consistently produces more women graduates per
year who go on to get Ph.D.s in physical
sciences than any other institutions except MIT,
U. of Michigan, U. of Calif. (Rutgers, with its
nearly 50,000 students, was proud to be about at
MHC level). Self-selection of women who go to
Barnard??
47
Joan Birman, Barnard/Columbia
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Summary
  • Math is one of least sex-specific majors.
  • Top SAT scores of 13-year-olds boys still
    out-number girls, by nearly 31, but since ratio
    still decreasing, not clear where it will end up.
  • Some cognitive differences, at some points in
    menstrual cycle. Spatial Males better at mental
    rotation (only!), but it can be taught. Scores on
    math tests are strongly influenced by stereotype
    threat (cortisol levels) priming for tests
    can erase gender differences.
  • Tenured at top 10 About 5 female
  • Huge changes over 40 years! But publicity
    lacking sex differences are sexy negative
    results are not.

49
Some presidents of the Association for Women in
Mathematics (AWM www.awm-math.org) Mary Gray,
Alice Schafer, Lenore Blum, Judy Roitman, Linda
Keen, Sylvia Wiegand, Bhama Srinivasan, Barbara
Keyfitz, Carol Wood
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Chipman article conclusions (in Gender
Differences in Mathematics)
  • Views on women and mathematics are hard to
    change. Actual facts have little influence on
    those stereotypes.
  • It is clear that many people do not want to
    believe that girls and women can be good at
    mathematicsWhen observed, small mean differences
    get mentally transformed into dichotomized
    stereotypes.
  • The topic of sex differences remains far too
    sexy a topic.
  • A case can be made that the primary women and
    mathematics problem in the U.S. today is that
    people keep talking about the women and
    mathematics problem.

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Education is power!
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Final words of Susan Chipman Education is
power. Math is power. And, it seems, power
positions are still not seen by many as
appropriate for women.
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Recommended Books
  • Gender Differences in Mathematics, edited by Ann
    Gallagher and James Kaufman, (Cambridge
    University Press, 2005) review by Kessel and Linn
    to appear AWM Newsletter Sept 2006
  • The Female Brain, by Cynthia Darlington, (Taylor
    and Francis, 2002) NOT the 2006 popular book
    of the same title!
  • (in series Conceptual advances in brain
    research)
  • Women for Mathematics, by InterAcademy Council,
    2006
  • Complexities, by Bettye Anne Case and Anne
    Leggett (Princeton Univ Press 2005) (some
    stories about current women mathematicians)
  • Notable Women in Mathematics, by Charlene Morrow
    and Perl

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Books
  • Gender Differences in Mathematics, edited by Ann
    Gallagher and James Kaufman, (Cambridge
    University Press, 2005) review by Kessel and Linn
    to appear AWM Newsletter Sept 2006
  • The Female Brain, by Cynthia Darlington, (Taylor
    and Francis, 2002) NOT the 2006 popular book
    of the same title!
  • (in series Conceptual advances in brain
    research)
  • Women for Mathematics, by InterAcademy Council,
    2006

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