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Assessing factorial invariance of two-way rating designs using three-way methods

Assessing the factorial invariance of two-way rating designs such as ratings of concepts on several scales by different groups can be carried out with three-way models such as the Parafac and Tucker models. By their definitions these models are double-metric factorially invariant. The differences be...

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Autor principal: Kroonenberg, Pieter M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288055/
https://www.ncbi.nlm.nih.gov/pubmed/25620936
http://dx.doi.org/10.3389/fpsyg.2014.01495
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author Kroonenberg, Pieter M.
author_facet Kroonenberg, Pieter M.
author_sort Kroonenberg, Pieter M.
collection PubMed
description Assessing the factorial invariance of two-way rating designs such as ratings of concepts on several scales by different groups can be carried out with three-way models such as the Parafac and Tucker models. By their definitions these models are double-metric factorially invariant. The differences between these models lie in their handling of the links between the concept and scale spaces. These links may consist of unrestricted linking (Tucker2 model), invariant component covariances but variable variances per group and per component (Parafac model), zero covariances and variances different per group but not per component (Replicated Tucker3 model) and strict invariance (Component analysis on the average matrix). This hierarchy of invariant models, and the procedures by which to evaluate the models against each other, is illustrated in some detail with an international data set from attachment theory.
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spelling pubmed-42880552015-01-23 Assessing factorial invariance of two-way rating designs using three-way methods Kroonenberg, Pieter M. Front Psychol Psychology Assessing the factorial invariance of two-way rating designs such as ratings of concepts on several scales by different groups can be carried out with three-way models such as the Parafac and Tucker models. By their definitions these models are double-metric factorially invariant. The differences between these models lie in their handling of the links between the concept and scale spaces. These links may consist of unrestricted linking (Tucker2 model), invariant component covariances but variable variances per group and per component (Parafac model), zero covariances and variances different per group but not per component (Replicated Tucker3 model) and strict invariance (Component analysis on the average matrix). This hierarchy of invariant models, and the procedures by which to evaluate the models against each other, is illustrated in some detail with an international data set from attachment theory. Frontiers Media S.A. 2015-01-08 /pmc/articles/PMC4288055/ /pubmed/25620936 http://dx.doi.org/10.3389/fpsyg.2014.01495 Text en Copyright © 2015 Kroonenberg. 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
Kroonenberg, Pieter M.
Assessing factorial invariance of two-way rating designs using three-way methods
title Assessing factorial invariance of two-way rating designs using three-way methods
title_full Assessing factorial invariance of two-way rating designs using three-way methods
title_fullStr Assessing factorial invariance of two-way rating designs using three-way methods
title_full_unstemmed Assessing factorial invariance of two-way rating designs using three-way methods
title_short Assessing factorial invariance of two-way rating designs using three-way methods
title_sort assessing factorial invariance of two-way rating designs using three-way methods
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288055/
https://www.ncbi.nlm.nih.gov/pubmed/25620936
http://dx.doi.org/10.3389/fpsyg.2014.01495
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