2013
DOI: 10.1037/a0031412
|View full text |Cite
|
Sign up to set email alerts
|

An examination of stereotype threat effects on girls’ mathematics performance.

Abstract: Stereotype threat has been proposed as 1 potential explanation for the gender difference in standardized mathematics test performance among high-performing students. At present, it is not entirely clear how susceptibility to stereotype threat develops, as empirical evidence for stereotype threat effects across the school years is inconsistent. In a series of 3 studies, with a total sample of 931 students, we investigated stereotype threat effects during childhood and adolescence. Three activation methods were … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
74
1
3

Year Published

2014
2014
2022
2022

Publication Types

Select...
5
2
2

Relationship

0
9

Authors

Journals

citations
Cited by 107 publications
(81 citation statements)
references
References 58 publications
(140 reference statements)
3
74
1
3
Order By: Relevance
“…Second, Bayesian approaches are compatible with large uncertainties, which in practice are inevitable when studying interactions. Interactions, in turn, are important because statistically significant but unreplicable results can be seen as arising from varying treatment effects and situationdependent phenomena (consider, just for one example, the wide variation in estimates of the effects of stereotype threat under different experimental conditions; Fryer, Levitt, & List, 2008;Ganley et al, 2013). Finally, hierarchical Bayesian analysis can handle structured data and multiple comparisons, allowing researchers to escape from the paradigm of the single data comparison or single p value being conclusive.…”
Section: Resultsmentioning
confidence: 99%
“…Second, Bayesian approaches are compatible with large uncertainties, which in practice are inevitable when studying interactions. Interactions, in turn, are important because statistically significant but unreplicable results can be seen as arising from varying treatment effects and situationdependent phenomena (consider, just for one example, the wide variation in estimates of the effects of stereotype threat under different experimental conditions; Fryer, Levitt, & List, 2008;Ganley et al, 2013). Finally, hierarchical Bayesian analysis can handle structured data and multiple comparisons, allowing researchers to escape from the paradigm of the single data comparison or single p value being conclusive.…”
Section: Resultsmentioning
confidence: 99%
“…Working with very large datasets introduces some new opportunities for the cognitive scientist (Stafford & Dewar, 2014;Goldstone & Lupyan, 2016). Experimental and observational studies complement each other.…”
Section: Discussionmentioning
confidence: 99%
“…Recent analyses have suggested that the literature on stereotype threat suffers from publication bias (Flore & Wicherts, 2015;Stricker, 2008;Ganley et al, 2013;Doyle & Voyer, 2016). If studies reporting a positive effect are more likely to be published then this will exaggerate the true size and robustness of stereotype threat.…”
Section: Stereotype Threat and Publication Biasmentioning
confidence: 99%
“…Based on such findings, social psychologists argue that, rather than an innate difference derived from genetics, environmental factors such as the stigma of belonging to an ethnic minority group might be responsible for much of the observed differences between groups on intelligence tests. While the synchronic effects of stereotype threat are not fully understood (see Stricker and Ward 2004;Wei 2012;Ganley et al 2013 for a review on the replicability and durability of the effect), one promising line of research suggests that stereotype threat interferes with working memory capacity. As we mentioned earlier, working memory capacity is highly associated with fluid g, a domain-general process involved in many of the overlapping processes that together constitute intelligence.…”
Section: Stereotype Threat and Measurement Invariancementioning
confidence: 99%