Fungible parameter estimates in structural equation modeling.

Lee, Taehun; MacCallum, Robert C; Browne, Michael W

Lee, Taehun; MacCallum, Robert C; Browne, Michael W.

Afiliación

Lee T; Department of Psychology, Chung-Ang University.
MacCallum RC; Department of Psychology, The University of North Carolina at Chapel Hill.
Browne MW; Department of Psychology, The Ohio State University`.

Psychol Methods ; 23(1): 58-75, 2018 Mar.

Article en En | MEDLINE | ID: mdl-28414480

RESUMEN

Extending work by Waller (2008) on fungible regression coefficients, we propose a method for computation of fungible parameter estimates in structural equation modeling. Such estimates are defined as distinct alternative solutions for parameter estimates, where all fungible solutions yield identical model fit that is only slightly worse than the fit provided by optimal estimates. When such alternative estimates are found to be highly discrepant from optimal estimates, then substantive interpretation based on optimal estimates is called into question. We present a computational method and 3 illustrations showing the potential impact of this approach in applied research, and we discuss implications and issues for further research. (PsycINFO Database Record

Asunto(s)

Modelos Psicológicos; Modelos Estadísticos; Psicología/métodos; Humanos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Psicología / Modelos Estadísticos / Modelos Psicológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Psychol Methods Asunto de la revista: PSICOLOGIA Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos

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