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Four
experiments assessed how highlighting multiple
identities with divergent implications for task
performance can affect stereotype threat effects. In
Experiment 1, female undergraduates completed a math
test after receiving information highlighting their
gender (stereotype threat), their status as a college
student (a group that stereotypically is good at math),
both group memberships (multiple identity), or no
information about their social identities (control).
Math performance was poorest in the condition in which
gender was highlighted, but performance in the condition
where multiple identities were highlighted was
equivalent with the control condition. Experiment 2 used
the same procedures as Experiment 1, but identity
accessibility was measured directly. Woman students in
the stereotype threat condition performed most poorly on
the math test, and these participants also applied
gender labels more quickly to themselves than women in
the other conditions. In addition, mediational analyses
suggested that decrements in performance could be
explained by the relative accessibility of students'
gender identity; to the degree that the female identity
was more accessible than the college identity,
performance was negatively affected. Experiment 3
assessed working memory capacity across the different
conditions. Again, women in the stereotype threat
condition performed most poorly on the math test and
also showed lowest working memory capacity. Lower
working memory capacity appeared to account for the
poorer performance of these women. In Experiment 4, a
different manipulation of group identity salience was
used with a group of female undergraduates before they
completed a math task. Half of the participants were
asked to indicate their gender on a demographic form
before taking the test whereas the other participants
were not asked about gender. In addition, half were
asked to indicate their status as a college student and
the other half were not. Those women who were asked only
about their gender performed most poorly on the math
test. In sum, these results show that having at least
one identity suggestive of high performance in a domain
can serve a protective function, if that identity is
highlighted within the testing context.
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