Claims

The 14-LO attribute structure improved DINA model fit over MCD-v1's four-skill structure for all three RBAs

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? RMSEA2 fell under the 14-LO structure compared with the four-skill structure for the FCI, EMCS, and FMCE. → Vy Le 2026

Evidence

Vy Le 2026

Vy Le, Jayson M. Nissen, Jason W. Morphew, Hua Hua Chang, and Ben Van Dusen. (2026). Mechanics Cognitive Diagnostic: Testing Fine-Grained Learning Objectives in Introductory Physics. https://arxiv.org/abs/2609.09584 doi:10.48550/arxiv.2609.09584

q2 · i? · design · r2

Comparison with MCD-v1, which applied DINA to the same three RBAs with four broad skills. "The 14-LO structure improved fit for all three RBAs," with FMCE remaining the only marginal-fit assessment under both structures.

"The present 14-LO structure improved fit for all three RBAs: FCI RMSEA2 fell from 0.048 to 0.033, EMCS RMSEA2 fell from 0.028 to 0.022, and FMCE RMSEA2 fell from 0.090 to 0.065."

Discussion

Page metadata
Field Value
type claim
id 14-lo-structure-improved-fit-over-mcd-v1
title The 14-LO attribute structure improved DINA model fit over MCD-v1's four-skill structure for all three RBAs
description The 14-LO attribute structure improved DINA model fit over MCD-v1's four-skill structure for all three RBAs
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — vy-le-2026

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