Evidence map›Paper›PMID 40265661›Full record

ArticleThe British journal of mathematical and statistical psychology2025

Score-based tests for parameter instability in ordinal factor models.

Franz Classe, Rudolf Debelak, Christoph Kern

Abstract read
In one paragraph

Article in The British journal of mathematical and statistical psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Score-based tests for parameter instability in ordinal factor models.The British journal of mathematical and statistical psychology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Franz ClasseDeutsches Jugendinstitut e.V., Munich, Germany.ORCID 0000-0003-1257-1719
Rudolf DebelakDepartment of Psychology, University of Zurich, Zurich, Switzerland.
Christoph KernDepartment of Statistics, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a novel approach for computing model scores for ordinal factor models, that is, graded response models (GRMs) fitted with a limited information (LI) estimator. The method makes it possible to compute score-based tests for parameter instability for ordinal factor models. This way, rapid execution of numerous parameter instability tests for multidimensional item response theory (MIRT) models is facilitated. We present a comparative analysis of the performance of the proposed score-based tests for ordinal factor models in comparison to tests for GRMs fitted with a full information (FI) estimator. The new method has a good Type I error rate, high power and is computationally faster than FI estimation. We further illustrate that the proposed method works well with complex models in real data applications. The method is implemented in the lavaan package in R.

Indexed as

Models, StatisticalPsychometricsAlgorithmsComputer SimulationData Interpretation, StatisticalFactor Analysis, StatisticalHumansmultidimensional item response theoryordinal factor analysisparameter instabilityscore test

Identifiers

PMID40265661
PMCPMC12516115

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.