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IRT studies of many groups: the alignment method
Asparouhov and Muthén (2014) presented a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the met...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162377/ https://www.ncbi.nlm.nih.gov/pubmed/25309470 http://dx.doi.org/10.3389/fpsyg.2014.00978 |
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author | Muthén, Bengt Asparouhov, Tihomir |
author_facet | Muthén, Bengt Asparouhov, Tihomir |
author_sort | Muthén, Bengt |
collection | PubMed |
description | Asparouhov and Muthén (2014) presented a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the method is the ability to conveniently estimate models for many groups, such as with comparisons of countries. This paper focuses on IRT applications of the alignment method. An empirical investigation is made of binary knowledge items administered in two separate surveys of a set of countries. A Monte Carlo study is presented that shows how the quality of the alignment can be assessed. |
format | Online Article Text |
id | pubmed-4162377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-41623772014-10-10 IRT studies of many groups: the alignment method Muthén, Bengt Asparouhov, Tihomir Front Psychol Psychology Asparouhov and Muthén (2014) presented a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the method is the ability to conveniently estimate models for many groups, such as with comparisons of countries. This paper focuses on IRT applications of the alignment method. An empirical investigation is made of binary knowledge items administered in two separate surveys of a set of countries. A Monte Carlo study is presented that shows how the quality of the alignment can be assessed. Frontiers Media S.A. 2014-09-12 /pmc/articles/PMC4162377/ /pubmed/25309470 http://dx.doi.org/10.3389/fpsyg.2014.00978 Text en Copyright © 2014 Muthén and Asparouhov. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Muthén, Bengt Asparouhov, Tihomir IRT studies of many groups: the alignment method |
title | IRT studies of many groups: the alignment method |
title_full | IRT studies of many groups: the alignment method |
title_fullStr | IRT studies of many groups: the alignment method |
title_full_unstemmed | IRT studies of many groups: the alignment method |
title_short | IRT studies of many groups: the alignment method |
title_sort | irt studies of many groups: the alignment method |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162377/ https://www.ncbi.nlm.nih.gov/pubmed/25309470 http://dx.doi.org/10.3389/fpsyg.2014.00978 |
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