The proportionality restrictions that the testlet model imposes on the bifactor model were implausible in the applied dataset, as specific-to-general loading quotients varied far from constant within testlets¶
Claim · All claims
Evidence · 1 study · theoreticalr3·q2
Currency · newest study 2009 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2012: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
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q2 i? Quotients of specific-dimension loadings over general-dimension loadings were far from constant within each testlet, contradicting the testlet model's proportionality constraint in this application. → Rijmen 2009
Evidence¶
Rijmen 2009¶
Rijmen, F. (2009). Three Multidimensional Models for Testlet-Based Tests: Formal Relations and an Empirical Comparison. ETS Research Report RR-09-37. http://www.ets.org/research/contact.html doi:10.1002/j.2333-8504.2009.tb02194.x
q2 · i? · theoretical · r3
Figure 6 plots the bifactor model's estimates of specific-dimension loadings divided by general-dimension loadings for the English assessment data. Were the testlet model to hold, these quotients should be approximately constant within each testlet, but "these quotients are far from constant within a testlet."
"As Figure 6 shows, these quotients are far from constant within a testlet."
Discussion¶
Related Claims¶
- In an empirical comparison on a testlet-based English assessment test, the bifactor model is preferred over the second-order and unidimensional 2PL models by both AIC and BIC — related
- The second-order multidimensional IRT model for testlets is formally equivalent to the testlet model, and both are restricted bifactor models — related
- A multidimensional IRT model with simple structure fits testlet-based reading data better than both the general polytomous testlet model and the standard 2PL/GPCM — related
- Bifactor-(S-1) models of teacher Big Five personality fit student and teacher data better than single-domain or three-facets models — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
testlet-proportionality-restrictions-implausible |
title |
The proportionality restrictions that the testlet model imposes on the bifactor model were implausible in the applied dataset, as specific-to-general loading quotients varied far from constant within testlets |
description |
The proportionality restrictions that the testlet model imposes on the bifactor model were implausible in the applied dataset, as specific-to-general loading quotients varied far from constant within testlets |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2009 |
recheck_by |
2012 |
generated |
by process:wiki-ingest on 2026-09-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — rijmen-2009 |
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