Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models

Multitrait-multimethod (MTMM) analysis is one of the most frequently employed methods to examine the validity of psychological measures. Confirmatory factor analysis (CFA) is a commonly used analytic tool for examining MTMM data through the specification of trait and method latent variables. Most co...

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Detalles Bibliográficos
Autores: Hintz, Fred A., Geiser, Christian, Burns, G. Leonard, Servera, Mateu
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Conselleria de Salut i Consum del Govern de les Illes Balears
Repositorio:Docusalut
Idioma:inglés
OAI Identifier:oai:docusalut.com:20.500.13003/17590
Acceso en línea:https://hdl.handle.net/20.500.13003/17590
Access Level:acceso abierto
Palabra clave:structural equation modeling
multiple rater
multitrait-multimethod (MTMM) analysis
latent moderated structural equations
latent difference model
latent means model
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spelling Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod ModelsHintz, Fred A.Geiser, ChristianBurns, G. LeonardServera, Mateustructural equation modelingmultiple ratermultitrait-multimethod (MTMM) analysislatent moderated structural equationslatent difference modellatent means modelMultitrait-multimethod (MTMM) analysis is one of the most frequently employed methods to examine the validity of psychological measures. Confirmatory factor analysis (CFA) is a commonly used analytic tool for examining MTMM data through the specification of trait and method latent variables. Most contemporary CFA-MTMM models either do not allow estimating correlations between the trait and method factors or they are restricted to linear trait-method relationships. There is no theoretical reason why trait and method relationships should always be linear, and quadratic relationships are frequently proposed in the social sciences. In this article, we present two approaches for examining quadratic relations between traits and methods through extended latent difference and latent means CFA-MTMM models (Pohl et al., 2008; Pohl and Steyer, 2010). An application of the new approaches to a multi-rater study of the nine inattention symptoms of attention-deficit/hyperactivity disorder in children (N = 752) and the results of a Monte Carlo study to test the applicability of the models under a variety of data conditions are described.Frontiers Media Sa20192019-03-1420192019-03-14research articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.13003/17590reponame:Docusalutinstname:Conselleria de Salut i Consum del Govern de les Illes BalearsInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docusalut.com:20.500.13003/175902026-06-22T12:44:07Z
dc.title.none.fl_str_mv Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
title Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
spellingShingle Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
Hintz, Fred A.
structural equation modeling
multiple rater
multitrait-multimethod (MTMM) analysis
latent moderated structural equations
latent difference model
latent means model
title_short Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
title_full Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
title_fullStr Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
title_full_unstemmed Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
title_sort Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models
dc.creator.none.fl_str_mv Hintz, Fred A.
Geiser, Christian
Burns, G. Leonard
Servera, Mateu
author Hintz, Fred A.
author_facet Hintz, Fred A.
Geiser, Christian
Burns, G. Leonard
Servera, Mateu
author_role author
author2 Geiser, Christian
Burns, G. Leonard
Servera, Mateu
author2_role author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv structural equation modeling
multiple rater
multitrait-multimethod (MTMM) analysis
latent moderated structural equations
latent difference model
latent means model
topic structural equation modeling
multiple rater
multitrait-multimethod (MTMM) analysis
latent moderated structural equations
latent difference model
latent means model
description Multitrait-multimethod (MTMM) analysis is one of the most frequently employed methods to examine the validity of psychological measures. Confirmatory factor analysis (CFA) is a commonly used analytic tool for examining MTMM data through the specification of trait and method latent variables. Most contemporary CFA-MTMM models either do not allow estimating correlations between the trait and method factors or they are restricted to linear trait-method relationships. There is no theoretical reason why trait and method relationships should always be linear, and quadratic relationships are frequently proposed in the social sciences. In this article, we present two approaches for examining quadratic relations between traits and methods through extended latent difference and latent means CFA-MTMM models (Pohl et al., 2008; Pohl and Steyer, 2010). An application of the new approaches to a multi-rater study of the nine inattention symptoms of attention-deficit/hyperactivity disorder in children (N = 752) and the results of a Monte Carlo study to test the applicability of the models under a variety of data conditions are described.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-03-14
2019
2019-03-14
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.13003/17590
url https://hdl.handle.net/20.500.13003/17590
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media Sa
publisher.none.fl_str_mv Frontiers Media Sa
dc.source.none.fl_str_mv reponame:Docusalut
instname:Conselleria de Salut i Consum del Govern de les Illes Balears
instname_str Conselleria de Salut i Consum del Govern de les Illes Balears
reponame_str Docusalut
collection Docusalut
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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