Neuroanthropology

For a greater understanding of the encultured brain and body…

Posts Tagged ‘gender gap’

Women on tests update: response to stress

Posted by gregdowney on August 31, 2008

A while ago, I posted an overly-long discussion of recent research on the ‘math gap’ between boys and girls on standardized testing (Girls closing math gap?: Troubles with intelligence #1). That posting discussed several studies published in Science that have shown the gap in average math scores between boys and girls is not set in stone. In one paper, an increase in the test pool brought on by the No Child Left Behind program, with mandatory universal tests instead of exams only for those wishing to go to college, caused the gap in average scores to disappear; in the other paper, a decrease in the ‘math gap’ was found to correlate with other measures of greater gender equality in European states.

As I pointed out in the previous post, however, many commentators suggest that it is not the gap in average test scores that really matters; rather, these critics argue that the different variance in boys’ and girls’ scores explains the disproportionate number of boys who produce exceptional scores (as well as exceptionally bad scores), and thus the marked gap of men and women in PhD math programs, in prestigious prizes for physics and related subjects, and in related fields like engineering. In the earlier post, I argued that even if this greater variance showed up reliably across all testing populations, what exactly was being illuminated was still not clear; that is, many other explanations–other than that men had better ‘math modules’ in their brains, or greater ‘innate’ mathematics ability, or something like that–could explain even very stable differences in math performance. At the time I suggested a number of other possibilities, such as sex differences in stress response during testing, as other possible explanations for even a universal ‘math gap’ (which still had to contend with studies like the two in Science which severely undermined the assertion of universality).

As if on cue, I stumbled upon a video and accompanying article in Science Daily on differences in stress responses among men and women: Neuroscientists Find That Men And Women Respond Differently To Stress (but don’t click on that link — keep reading!). Stress is a good candidate to explain a test-taking gap because the observable physiological processes offer abundant evidence that men and women don’t respond to stress in exactly the same way (although there are underlying commonalities). For example, stress causes different diseases in men and women, and some long-term psychological disorders that demonstrate sex-linked disparities seem to emerge from stress.

Unlike the ‘black box’ explanation that boys and simply better at math or evidence greater variability in innate ability, with no observable neural correlate or plausible explanatory mechanism, in variation in stress response we have a clear candidate for male-female difference that plausibly affects their performance and even physiology (for example, in different stress-related diseases).
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Posted in Brain imaging, Education, Gender, Human variation, Inequality, Stress | Tagged: , , , , | 6 Comments »

Girls closing math gap?: Troubles with intelligence #1

Posted by gregdowney on August 7, 2008

In a January 2005 speech, Harvard President Lawrence Summers provoked the proverbial firestorm by suggesting that women lacked the ‘intrinsic aptitude’ of women for math, science and engineering (story in the Boston Globe on the incident). Summers was merely stating out loud what many people believe: that inherent differences between men and women cause significant inequalities in aptitude for math (and presumably also for art history, Coptic studies, or cultural anthropology, but they usually get a lot less attention…).

A recent report in Science by Janet S. Hyde and colleagues, ‘Gender Similarities Characterize Math Performance,’ used a mass of standardized testing data generated under the No Child Left Behind program to compare male and female performance and found that the scores were more similar than different. The gap in average performance on math tests has shrunk significantly since the 1970s, disappearing in most states and grades for which the research team could get good data. According to Marcia C. Linn of the University of California, Berkeley, one of the co-authors of the study: ‘Now that enrollment in advanced math courses is equalized, we don’t see gender differences in test performance. But people are surprised by these findings, which suggests to me that the stereotypes are still there.’

From the way that this report has been discussed, it seems clear that the data has not settled this question in many people’s minds. Tamar Lewin of The New York Time covered the story in (‘Math Scores Show No Gap for Girls, Study Finds‘) provoking comments on a wide range of websites, including some who insisted that the team led by Hyde missed entirely the point being made by Summers or that Lewin had misread the study (some accusing her of feminist bias). In contrast, Keith J. Winstein of The Wall Street Journal focused not on the average scores, but on the results at the top end of the bell curve, writing, Boys’ Math Scores Hit Highs and Lows, which highlights the discussion of variance in boys’ scores.

Although I briefly want to go over the study and the way its being interpreted, I’m more interested in the shift in test scores over time because I think that the movements in these numbers, including gaps that disappear over time (or don’t), point to a basic problem in the tests themselves. Well, not a problem in the tests—they’re very sophisticated instruments for assessing certain kinds of performance on selected tasks—but rather with the common assumption about what these tests actually reveal and the nature of ‘math ability.’ For me, this larger point is more important for neuroanthropology because it applies to far more than just the ‘math gap.’

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Posted in Education, Gender, general, Human variation, Inequality, Learning | Tagged: , , , , | 12 Comments »

 
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