Aversive responses to stereotypic science and math-based (STEM) images predict women's long-term STEM memories and underperformance in math.
Overview
- Edson College of Nursing and Health Innovation, Arizona State University, 326 Health South Building, Phoenix, 85004 AZ USA
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE USA
- Department of Psychology, Florida State University, Tallahassee, FL USA
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Code
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Data
Datasets cited
Data availability statement
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- it points to a dataset: OSF 54pum
Read it in the paper: doi.org/10.1038/s41598-025-27999-3.
Versions
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 10 keywords, 13 MeSH terms, 1 funder, 53 references.
Cite
This paper
Forbes, C. E., Amey, R. C., & Olcaysoy Okten, I. (2026). Aversive responses to stereotypic science and math-based (STEM) images predict women's long-term STEM memories and underperformance in math. Scientific reports, 16(1), 9581. https://
BibTeX
@article{forbes2026avers
author = {Forbes, Chad E and Amey, Rachel C and Olcaysoy Okten, Irmak},
title = {{Aversive responses to stereotypic science and math-based (STEM) images predict women's long-term STEM memories and underperformance in math}},
journal = {Scientific reports},
year = {2026},
month = mar,
volume = {16},
number = {1},
pages = {9581},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/
url = {https://
pmid = {41786793},
pmcid = {PMC13009467}
}
RIS
TY - JOUR
AU - Forbes, Chad E
AU - Amey, Rachel C
AU - Olcaysoy Okten, Irmak
TI - Aversive responses to stereotypic science and math-based (STEM) images predict women's long-term STEM memories and underperformance in math
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 9581
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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"language": "en",
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