Testing Stereotype Threat Theory Predictions for Math-Identified and Non-Math-Identified Students by Gender

By M. Cullen, Shonna D. Waters, P. Sackett. 2006

95 citations recorded by the source corpus.

Subfields: Gender Studies, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f1a085fe2240036bd0c4514640ad25800cb979ed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Gender Studies

1. Filip Lievens
2. P. Sackett
3. Greet van Hoye
4. A. Saks

In Social Psychology

1. Filip Lievens
2. P. Sackett

In Sociology and Political Science

1. Filip Lievens
2. P. Sackett
3. Christopher M. Berry
4. He Peng
5. Greet van Hoye
6. Nichelle C. Carpenter
7. Brent A. Scott
8. T. Macan

Citations in the corpus

• Personnel selection. (2008, background): “Although this research shows that the way a test is presented to students in laboratory settings can affect their performance, the limited research in employment settings does not produce findings indicative of systematic effects due to stereotype threat (Cullen et al. 2004, 2006).”
• Beneath the numbers: A review of gender disparities in undergraduate education across science, technology, engineering, and math disciplines (2016, unknown): “, grades) have real impacts and students are highly motivated to achieve [84].”