The Force Concept Inventory (FCI) is one of the most widely used research-based assessments in physics education, yet the assumption that its underlying cognitive structure is transferable across educational contexts remains largely untested. This study investigates the transferability of FCI Q-matrices using the Generalized Deterministic Inputs, Noisy"And"Gate (G-DINA) cognitive diagnostic applied to two large cohorts: students from the Learning About STEM Student Outcomes (LASSO) online system database in the United States (N = 4,750) and introductory physics students at the University of Johannesburg, South Africa (N = 1,016). Rather than treating the analysis as a local model calibration exercise, we frame the problem as one of cross-context cognitive invariance. Differential Item Functioning (DIF) analyses revealed substantial cross-cultural differences, with 14 of 30 items exhibiting high DIF after controlling for latent skill mastery. These differences were concentrated in force dynamics and contact-force reasoning and remained invariant under alternative Q-matrix specifications. The findings suggest that observed differences reflect genuine variations in students'conceptual reasoning rather than psychometric artifacts, highlighting the importance of validating Q-matrix structures before deploying cognitive diagnostic and adaptive assessments across diverse non-local educational settings.
The "intelligence-achievement paradox" raises a fundamental question in educational research: why do students with comparable cognitive abilities often exhibit markedly different academic trajectories? While existing frameworks provide valuable insights into isolated predictors, they frequently lack an integrated mecha...
Ji-Xiang He, Xiao-Lin Ma· International Journal of Ins...· 0 citations
Test of equal performance of a structural or measurement model in measuring a psychological phenomenon or a construct, in subjects across multiple groups, technically known as measurement invariance or measurement equivalence testing, is an essential practice in Psychometrics, which is not commonly followed in the Indi...
C. R., Chechi V. K., Gupta J· Journal of Engineering Educa...· 0 citations
Intellectual risk-taking (IRT)—engaging with epistemic uncertainty despite potential risk—is central to learning, yet few instruments assess it. This article reports two studies developing and validating the Intellectual Risk-Taking in Computer Science Survey (IRT-CS), grounded in a seven-strategy framework of instruct...
Shelby Clark, Madora Soutter, Lynn Barendsen et al.· Journal of Psychoeducational...· 0 citations
Eighth-grade mathematics achievement in Türkiye is often framed around a presumed weakness in higher-order reasoning, yet the relative standing of the TIMSS cognitive domains has rarely been tested inferentially or across time. Using the nationally representative TIMSS 2019 (N = 4,077) and 2023 (N = 4,925) Grade 8 samp...
Infinite Mindset offers a long-term leadership framework, but its measurement hierarchy requires empirical scrutiny. This study assesses measurement feasibility and specification sensitivity using a documented 30-respondent pilot in a plantation-management research context. Reported partial least squares structural equ...
M. R. Aulia, Z. Lubis, V. G. Rahmadani· Best Journal of Administrati...· 0 citations
Classical test theory (CTT) and item response theory (IRT) rest on different measurement assumptions: CTT describes items relative to the tested group, whereas IRT places items and persons on a common latent ability scale. Using both frameworks therefore offers complementary validity evidence for classroom tests in voc...
Yolanda Putri Nami, F. Rizal, M. Giatman et al.· JRTI (Jurnal Riset Tindakan...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.