Not the Sum of Its Parts: Decomposing Implicit Academic Stereotypes to Understand Sense of Fit in Math and English

Not the Sum of Its Parts: Decomposing Implicit Academic Stereotypes to Understand Sense of Fit in... Stereotypes about gender differences in math and English ability are pervasive. The current research decomposes math and English stereotypes in order to examine the relationship between the four independent components of these stereotypes (i.e., the stereotypic men-math association, the counter stereotypic men-English association, the counter stereotypic women-math association, and the stereotypic women-English association) and students' sense of fit in math and English. 371 undergraduate men and women from a private university located in the Southern United States participated in the current study. Participants completed the Go/No-Go Association Task (GNAT) to assess the independent stereotype components, followed by composite measures of sense of fit in math and English. For women, the women-math association and the women-English association (i.e., ingroup components of stereotypes), and not the men-math and men-English associations (i.e., outgroup components of stereotypes), predicted sense of fit in math and English. For men, only the men-math association predicted sense of fit in English. We discuss the implications of these findings for interventions aimed at improving students' sense of academic fit. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sex Roles Springer Journals

Not the Sum of Its Parts: Decomposing Implicit Academic Stereotypes to Understand Sense of Fit in Math and English

Loading next page...
 
/lp/springer_journal/not-the-sum-of-its-parts-decomposing-implicit-academic-stereotypes-to-2l3FI1fTy0
Publisher
Springer US
Copyright
Copyright © 2014 by Springer Science+Business Media New York
Subject
Psychology; Gender Studies; Sociology, general; Medicine/Public Health, general
ISSN
0360-0025
eISSN
1573-2762
D.O.I.
10.1007/s11199-014-0428-y
Publisher site
See Article on Publisher Site

Abstract

Stereotypes about gender differences in math and English ability are pervasive. The current research decomposes math and English stereotypes in order to examine the relationship between the four independent components of these stereotypes (i.e., the stereotypic men-math association, the counter stereotypic men-English association, the counter stereotypic women-math association, and the stereotypic women-English association) and students' sense of fit in math and English. 371 undergraduate men and women from a private university located in the Southern United States participated in the current study. Participants completed the Go/No-Go Association Task (GNAT) to assess the independent stereotype components, followed by composite measures of sense of fit in math and English. For women, the women-math association and the women-English association (i.e., ingroup components of stereotypes), and not the men-math and men-English associations (i.e., outgroup components of stereotypes), predicted sense of fit in math and English. For men, only the men-math association predicted sense of fit in English. We discuss the implications of these findings for interventions aimed at improving students' sense of academic fit.

Journal

Sex RolesSpringer Journals

Published: Nov 26, 2014

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off