Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 835

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Against the Odds: Self-Efficacy Beliefs of Women in Mathematical, Scientific, and Technological Careers

Zeldin, Amy L., Pajares, Frank·2000·American Educational Research Journal

Abstract

The purpose of this study was to explore the personal stories of women who selected and continue to excel at careers in areas of mathematics, science, and technology to better understand the ways in which their self-efficacy beliefs influenced their academic and career choices. Analysis of 15 narratives revealed that verbal persuasions and vicarious experiences were critical sources of the women's self-efficacy beliefs. These findings suggest that the perceived importance of these sources of self-efficacy believes may be stronger for women in male-oriented domains than for individuals operating in traditional settings. Academic and relational self efficacy perceptions resulted in the perseverance and resiliency required to overcome academic and career obstacles. Findings support and refine the theoretical tenets of A. Bandura's (1986) social cognitive theory, and they also suggest that critical tenets in this theory are consistent with the work of C. Gilligan (1982) and N. Noddings (1992) .

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/1163477

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

See all 835

Metadata

Authors
Zeldin, A. L., & Pajares, F.
Venue
American Educational Research Journal
Published
2000
Volume
37
Issue
1
Pages
215
ISSN
0002-8312 (ISSN-L)
OpenAlex
W2126015997
Cited by
835
References
12
FWCI
24.29
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Against the Odds: Self-Efficacy Beliefs of Women in Mathematical, Scientific, and Technological Careers. https://app.cochat.ai/papers/10.2307/1163477
The paper
Zeldin, A. L., & Pajares, F. (2000). Against the Odds: Self-Efficacy Beliefs of Women in Mathematical, Scientific, and Technological Careers. American Educational Research Journal. https://doi.org/10.2307/1163477

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.