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Lacking measurement invariance in research self-efficacy

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Bibliographic Data

ID22162736
AuthorsKatrin Ellen Klieme (0000-0002-5865-5064, University of Bremen, corresponding author), Florian Schmidt-Borcherding (0000-0002-9618-8946, University of Bremen)
Year2023
Volume8
Publication date2023-02-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Education (JOURNAL)
Journal identifiersISSN: 2504-284X • E-ISSN: 2504-284X
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/feduc.2023.1092714
OpenAlexW4319321486
LanguageEN
Citations received1
References cited47

Psychological factors play an important role in higher education. With respect to students' understanding of scientific research methods, research self-efficacy (RSE) has been studied as a core construct. However, findings on antecedents and outcomes of RSE are oftentimes heterogeneous regarding both its theoretical and empirical structures. The present study helps disentangle these findings by (a) establishing and validating an integrated, multi-dimensional assessment of RSE and (b) introducing a developmental perspective on RSE by testing the impact of the disciplinary context and academic seniority on both mean level and latent structure of RSE. The construct validity of the new measure was supported based on RSE assessments of 554 German psychology and educational science students. Relations to convergent and discriminant measures were as expected. Measurement invariance and LSEM analyses revealed significant differences in latent model parameters between most sub-groups of training level and disciplinary context. We discuss our findings of measurement non-invariance as a feature rather than a bug by stressing a process-oriented perspective on RSE. In this regard, we conclude potential future directions of research and RSE theory development, alongside implications for methods education practice in higher education

Confirmatory factor analysis · Construct validity · Developmental psychology · Discipline · Discriminant validity · Machine learning · Mathematics education · Measurement invariance · Political science · Psychometrics · Seniority · Social science · Sociology · Structural equation modeling · Career Development and Diversity · Computer Science · Education, Achievement, and Giftedness · Motivation and Self-Concept in Sports · Psychology · Social Psychology · Artificial Intelligence

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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