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Accuracy on Parameter Recovery, with Ordinals Data, of Structure Covariance Analysis and Partial Least Squares Path Modeling

The accuracy on parameter recovery is compared between Structure Covariance Analysis (ACOV) and Partial Least Squares Path Modeling (PLS-PM), with simulated ordinals data with 5 points, in a simple model. An experimental design is used, controlling the estimation method, sample size, skewness level...

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Autor Principal: Miranda Zapata, Edgardo Daniel; Universidad de la Frontera
Otros Autores: Ruiz Díaz, Miguel Ángel; Universidad Autónoma de Madrid
Formato: info:eu-repo/semantics/article
Idioma: spa
Publicado: Pontificia Universidad Javeriana 2015
Materias:
structure covariance analysis; accuracy; structural equation modeling; partial least squares path modeling; parameter recovery; ordinal manifest variables
Análisis de estructura de covarianza; precisión; modelo de ecuaciones estructurales; modelo de rutas mediante mínimos cuadrados parciales; recuperación de parámetros; variables manifiestas ordinales
Acceso en línea: http://revistas.javeriana.edu.co/index.php/revPsycho/article/view/8379
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Sumario: The accuracy on parameter recovery is compared between Structure Covariance Analysis (ACOV) and Partial Least Squares Path Modeling (PLS-PM), with simulated ordinals data with 5 points, in a simple model. An experimental design is used, controlling the estimation method, sample size, skewness level and model specification. Mean absolute differences are used to assess accuracy for the structural model. ACOV provided more accurate estimates of the structural parameters than PLS-PM in different experimental conditions. With a small sample size, both techniques are equally accurate. Using ACOV against PLS-PM is suggested. PLS choosing ACOV instead based on the use of a small sample size is not recommended.

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