When the variables of interest are measured by a set of items on units having a multilevel setting, conventional structural equation models cannot be used because the assumption of independence of all latent variables and indicators across units is violated due to the within-cluster dependence. In this work we propose the use of parcelling in defining of latent variables of a multilevel structural equation model (MSEM). The paper aims to face the problem of the use of categorical item response data when a multilevel SEM must be applied.
Mariangela Sciandra, Giovanni Boscaino, Vincenzo Genova (2019). Parceling in Multilevel Structural Equation Models for the measure of a latent construct. In M. Bini, P. Amenta, A. D'Ambra, I. Camminatiello (a cura di), Statistical Methods for Service Quality Evaluation - Book of short papers of IES 2019, Rome, Italy, July 4-5.
Parceling in Multilevel Structural Equation Models for the measure of a latent construct
Mariangela Sciandra;Giovanni Boscaino;Vincenzo Genova
2019-01-01
Abstract
When the variables of interest are measured by a set of items on units having a multilevel setting, conventional structural equation models cannot be used because the assumption of independence of all latent variables and indicators across units is violated due to the within-cluster dependence. In this work we propose the use of parcelling in defining of latent variables of a multilevel structural equation model (MSEM). The paper aims to face the problem of the use of categorical item response data when a multilevel SEM must be applied.
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