Although the social sciences are considered a bastion of progressivism, it's remarkable how few data-driven ideas they generate in support of their ideology. We can get a feel for this by noting how rare are the "exceptions to the rule" studies that become immensely popular due to bolstering the dominant worldview, such as Hart & Risley's finding that black people don't talk enough and Claude Steele's little study of Stereotype Threat in which he induces black students at Stanford to score lower on a low stakes test of his devising than their high stakes SAT scores would predict. (I wrote about Stereotype Threat in VDARE.com in 2004, suggesting it's not hard to get across the message to black or female students that the professor wants them to not exert themselves fully on this meaningless test.).
Lately, the evidence has been mounting that the existence of Stereotype Threat is quite dependent upon the file drawer function: studies finding its existence are quickly published while studies not finding its existence are in much less demand.
Via Andrew Gelman's blog:
Colleen M. Ganley, Leigh A. Mingle, Allison M. Ryan, Katherine Ryan, Marina Vasilyeva, and Michelle Perry
Online First Publication, January 28, 2013. doi: 10.1037/a0031412
Taken together, the findings from published research, unpublished articles, and the present studies reveal inconsistency in the effects of stereotype threat on girls’ mathematics performance. The discrepancy in results from published and unpublished studies suggests publication bias, which may create an inaccurate picture of the phenomenon. A recent review suggests that this publication bias may also be an issue in the literature on stereotype threat in adult women (Stoet & Geary, 2012). Overall, these results raise the possibility that stereotype threat may not be the cause of gender differences in mathematics performance prior to college. Although we feel that more nuanced research needs to be done to truly understand whether stereotype threat impacts girls’ mathematics performance, we also believe that too much focus on this one explanation may deter researchers from investigating other key factors that may be involved in gender differences in mathematics performance. For example, there are a number of factors (e.g., mathematics anxiety, mathematics interest, spatial skills; see Ceci & Williams, 2010) that have been shown to be consistently related to mathematics performance and mathematics-and science-related career choices and may warrant more research attention than does stereotype threat.