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Mokken Scale Analysis for Dichotomous Items Using Marginal Models

Scalability coefficients play an important role in Mokken scale analysis. For a set of items, scalability coefficients have been defined for each pair of items, for each individual item, and for the entire scale. Hypothesis testing with respect to these scalability coefficients has not been fully de...

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Detalles Bibliográficos
Autores principales: van der Ark, L. Andries, Croon, Marcel A., Sijtsma, Klaas
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798990/
https://www.ncbi.nlm.nih.gov/pubmed/20046851
http://dx.doi.org/10.1007/s11336-007-9034-z
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author van der Ark, L. Andries
Croon, Marcel A.
Sijtsma, Klaas
author_facet van der Ark, L. Andries
Croon, Marcel A.
Sijtsma, Klaas
author_sort van der Ark, L. Andries
collection PubMed
description Scalability coefficients play an important role in Mokken scale analysis. For a set of items, scalability coefficients have been defined for each pair of items, for each individual item, and for the entire scale. Hypothesis testing with respect to these scalability coefficients has not been fully developed. This study introduces marginal modelling as a framework to derive the standard errors for the scaling coefficients and test hypotheses about these coefficients. Several examples demonstrate the possibilities of marginal modelling in Mokken scale analysis. These possibilities include testing whether Mokken’s criteria for a scale are satisfied, testing whether scalability coefficients of different items are equal, and testing whether scalability coefficients are equal across different groups.
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spelling pubmed-27989902009-12-29 Mokken Scale Analysis for Dichotomous Items Using Marginal Models van der Ark, L. Andries Croon, Marcel A. Sijtsma, Klaas Psychometrika Article Scalability coefficients play an important role in Mokken scale analysis. For a set of items, scalability coefficients have been defined for each pair of items, for each individual item, and for the entire scale. Hypothesis testing with respect to these scalability coefficients has not been fully developed. This study introduces marginal modelling as a framework to derive the standard errors for the scaling coefficients and test hypotheses about these coefficients. Several examples demonstrate the possibilities of marginal modelling in Mokken scale analysis. These possibilities include testing whether Mokken’s criteria for a scale are satisfied, testing whether scalability coefficients of different items are equal, and testing whether scalability coefficients are equal across different groups. Springer-Verlag 2007-11-08 2008-06 /pmc/articles/PMC2798990/ /pubmed/20046851 http://dx.doi.org/10.1007/s11336-007-9034-z Text en © The Psychometric Society 2007
spellingShingle Article
van der Ark, L. Andries
Croon, Marcel A.
Sijtsma, Klaas
Mokken Scale Analysis for Dichotomous Items Using Marginal Models
title Mokken Scale Analysis for Dichotomous Items Using Marginal Models
title_full Mokken Scale Analysis for Dichotomous Items Using Marginal Models
title_fullStr Mokken Scale Analysis for Dichotomous Items Using Marginal Models
title_full_unstemmed Mokken Scale Analysis for Dichotomous Items Using Marginal Models
title_short Mokken Scale Analysis for Dichotomous Items Using Marginal Models
title_sort mokken scale analysis for dichotomous items using marginal models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798990/
https://www.ncbi.nlm.nih.gov/pubmed/20046851
http://dx.doi.org/10.1007/s11336-007-9034-z
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