Psychometric Properties of the Science Self-Efficacy Scale for STEMM Undergraduates.

Jayashri Srinivasan, Krystle P Cobian, Minjeong Jeon

Abstract read

In one paragraph

Article in European journal of investigation in health, psychology and education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jayashri SrinivasanSchool of Education and Information Studies, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-6083-183X

Krystle P CobianGeffen School of Medicine, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-9521-7573

Minjeong JeonSchool of Education and Information Studies, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-5880-4146

Funding

NIH Diversity Program Consortium Coordination and Evaluation Center at UCLAU54GM119024 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NORRIS, KEITH C, SEEMAN, TERESA E · 2015 to 2023

$38.2M

National Institutes of Health (NIH) U54GM119024NIGMS NIH HHS U54 GM119024

6 · The paper itself

Abstract

Biomedical research training initiatives need rigorous evaluation to achieve national goals of supporting a robust workforce in the biomedical sciences. Higher science self-efficacy is associated with the likelihood of pursuing a science-related research career, but we know little about the psychometric properties of this construct. In this study, we report on a comprehensive validation study of the Science Self-Efficacy Scale using a robust sample of 10,029 undergraduates enrolled across 11 higher education institutions that were part of a biomedical training initiative funded by the National Institutes of Health in the United States. We found the scale to be unidimensional with an Omega hierarchical (ω

Indexed as

biomedical research workforceitem response theoryscientific self-efficacystem educationvalidation study

Identifiers

PMID40709957

DOI10.3390/ejihpe15070124

PMCPMC12293995

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.