Both the competence test and the cognitive load ratings fit two-dimensional Rasch models significantly better than unidimensional models, supporting separate modeling of the two load dimensions¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? For the competence test, a two-dimensional model (chemistry content knowledge, decision-making) fit significantly better than the unidimensional model (Δdeviance = 5635.58, p ≤ 0.001), with item-reliability 0.96. → Schuessler 2025

Evidence¶

Schuessler 2025¶

Schuessler, K., Fischer, V., & Walpuski, M. (2025). Investigating construct validity of cognitive load measurement using single-item subjective rating scales. Instructional Science. https://doi.org/10.1007/s11251-024-09692-6

q2 · i? · associational · r2

Likelihood-ratio model comparison in ConQuest on the 128-item competence test (1-pl Rasch, multi-matrix design, N = 1543 students); the article reports only the deviance statistic and reliability, no effect size.

"The two-dimensional model revealed a significantly better statistical fit by checking through a chi-square test (Δdeviance = 5635.58, p ≤ 0.001). Both dimensions showed good statistical characteristics (0.85 < MNSQ < 1.17, –2 < T < 2). The item-reliability for the two-dimensional model of the competence test was 0.96."

Discussion¶

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