ReviewBehavior research methods2022
An R toolbox for score-based measurement invariance tests in IRT models.
Review in Behavior research methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Score-based tests for parameter instability in ordinal factor models.The British journal of mathematical and statistical psychology · 2025Article
- Investigating heterogeneity in IRTree models for multiple response processes with score-based partitioning.The British journal of mathematical and statistical psychology · 2025Article
- Validation using item response theory, and assessment of sensitivity to change of the Hypoglycemia Awareness Questionnaire in patients with type 2 diabetes treated with insulin.Journal of diabetes investigation · 2025Article
- Chinese character size test: Test development, validation, and standards-referenced norms for Chinese primary students.Behavior research methods · 2025Article
- Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning.Applied psychological measurement · 2024Article
- Confirmatory structural validation and refinement of the Recurrent Urinary Tract Infection Symptom Scale.BJUI compass · 2024Article
- Psychometric Properties under EFA, CFA, Measurement Invariance, and IRT Models for Older Adults' First Aids Knowledge Scale among Iranian Grandparents: The Modified Scale.TheScientificWorldJournal · 2024Article
- Semi-automated Rasch analysis with differential item functioning.Behavior research methods · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The detection of differential item functioning (DIF) is a central topic in psychometrics and educational measurement. In the past few years, a new family of score-based tests of measurement invariance has been proposed, which allows the detection of DIF along arbitrary person covariates in a variety of item response theory (IRT) models. This paper illustrates the application of these tests within the R system for statistical computing, making them accessible to a broad range of users. This presentation also includes IRT models for which these tests have not previously been investigated, such as the generalized partial credit model. The paper has three goals: First, we review the ideas behind score-based tests of measurement invariance. Second, we describe the implementation of these tests within the R system for statistical computing, which is based on the interaction of the R packages mirt, psychotools and strucchange. Third, we illustrate the application of this software and the interpretation of its output in two empirical datasets. The complete R code for reproducing our results is reported in the paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.