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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Autores: Hintz, Fred A., Geiser, Christian, Burns, G. Leonard, Servera, Mateu
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Conselleria de Salut i Consum del Govern de les Illes Balears
Repositorio:Docusalut
Idioma:inglés
OAI Identifier:oai:docusalut.com:20.500.13003/17590
Acesso em linha:https://hdl.handle.net/20.500.13003/17590
Access Level:acceso abierto
Palavra-chave: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 Models Hintz, Fred A. Geiser, Christian Burns, G. Leonard Servera, Mateu structural equation modeling multiple rater multitrait-multimethod (MTMM) analysis latent moderated structural equations latent difference model latent means model 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. Frontiers Media Sa https://hdl.handle.net/20.500.13003/17590
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
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
topic structural equation modeling
multiple rater
multitrait-multimethod (MTMM) analysis
latent moderated structural equations
latent difference model
latent means model
topic_facet 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
format article
url https://hdl.handle.net/20.500.13003/17590
language eng
eu_rights_str_mv openAccess
publisher Frontiers Media Sa
institution Conselleria de Salut i Consum del Govern de les Illes Balears
collection Docusalut
reponame_str Docusalut
instname_str Conselleria de Salut i Consum del Govern de les Illes Balears
_version_ 1878439342368620544
publishDateSort 2019
author_browse Burns, G. Leonard
Geiser, Christian
Hintz, Fred A.
Servera, Mateu
publisherStr Frontiers Media Sa
score 6.924472

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