Cited by 204Education, Achievement, and GiftednessCareer Development and DiversityMathematics Education and Pedagogy

The effects of mathematics task performance on math self-efficacy and task interest

Campbell, Nancy K, Hackett, Gail·1986·Journal of Vocational Behavior

Integrity signals

Registry

Crossref · 10.1016/0001-8791(86)90048-5

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Campbell, N. K., & Hackett, G.
Affiliations
  • The Ohio State University (US)
  • University of California, Santa Barbara (US)
Corresponding author
Hackett, Gail
Venue
Journal of Vocational Behavior
Publisher
Elsevier BV
Published
1986-04
Volume
28
Issue
2
Pages
149-162
ISSN
0001-8791 (ISSN-L)
OpenAlex
W1991703343
Cited by
204
References
0
Citations by year
2025: 2 · 2024: 8 · 2022: 5 · 2021: 7 · 2020: 4 · 2019: 4 · 2018: 7 · 2017: 6 · 2016: 4 · 2015: 3 · 2014: 8 · 2013: 7 · 2012: 9
FWCI
3.26
Type
journal article
Language
en
Open access
closed
Locations
Journal of Vocational Behavior (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
  • Social Sciences › Safety Research › Career Development and Diversity
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematics Education and Pedagogy
Keywords
mathematics self-efficacy, task interest, self-evaluation of performance, numerical series, gender differences, attribution of success and failure, self-efficacy theory

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