Cited by 22Education, Achievement, and GiftednessCareer Development and DiversityScience Education and Pedagogy

The Development and Validation of a Survey for Evaluating Primary Students’ Self-efficacy in STEM Activities

Luo, Tian, So, Winnie Wing Mui, Li, Wai Chin, Yao, Jianxin·2021·Journal of Science Education and Technology

Integrity signals

Registry

Crossref · 10.1007/s10956-020-09882-0

Cites

67 of 67 references verified0 citation errors · 0 not checkable

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Luo, T., So, W. W. M., Li, W. C., & Yao, J.
Affiliations
  • Education University of Hong Kong (HK)
  • Beijing Normal University (CN)
Venue
Journal of Science Education and Technology
Published
2020-11-17
Volume
30
Issue
3
Pages
408-419
ISSN
  • 1059-0145 (ISSN-L)
  • 1573-1839
OpenAlex
W3104845809
Cited by
22
References
67
Citations by year
2026: 2 · 2025: 5 · 2024: 5 · 2023: 5 · 2022: 4 · 2021: 1
FWCI
2.42
Type
journal article
Language
en
Open access
closed
Locations
Journal of Science Education and Technology (publishedVersion, public-domain)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
  • Social Sciences › Safety Research › Career Development and Diversity
  • Social Sciences › Education › Science Education and Pedagogy
Keywords
self-efficacy, STEM activities, elementary school students, survey development, instrument validation, STEM integration, informal STEM learning, gender differences, grade level

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 ›

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