Lord-Wingersky algorithm version 2.0 for hierarchical item factor models with applications in test scoring, scale alignment, and model fit testing

DOI10.1007/s11336-014-9411-3zbMath1322.62331OpenAlexW2073876135WikidataQ35196564 ScholiaQ35196564MaRDI QIDQ748222

Li Cai

Publication date: 20 October 2015

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-014-9411-3

zbMATH Keywords

linkingmultidimensional item response theorygoodness-of-fit testingbifactor modelscale alignmentsummed scoretest equatingtestlet

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (3)

Lord-Wingersky ⋮ Linking scores with patient-reported health outcome instruments: a validation study and comparison of three linking methods ⋮ Lord-Wingersky algorithm Version 2.5 with applications

Uses Software

• flexMIRT
• IRTPRO
• EQSIRT

Cites Work

• Unnamed Item
• A Markov chain Monte Carlo approach to confirmatory item factor analysis
• A two-tier full-information item factor analysis model with applications
• The development of hierarchical factor solutions
• Multidimensional item reponse theory.
• High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm
• Full-information item bi-factor analysis
• On the relationship between the higher-order factor model and the hierarchical factor model
• High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature
• Latent class models for diary method data: Parameter estimation by local computations
• ANALYSIS OF EMPIRICAL DATA USING TWO LOGISTIC LATENT TRAIT MODELS

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