Multiple Imputation of missing values in exploratory factor analysis of multidimensional scales: estimating latent trait scores

Multiple Imputation of missing values in exploratory factor analysis of multidimensional scales: estimating latent trait scores

ABSTRACT Researchers frequently have to analyze scales in which some participants have failed to respond to some items. In this paper we focus on the exploratory factor analysis of multidimensional scales (i.e., scales that consist of a number of subscales) where each subscale is made up of a number...

Full description

Bibliographic Details
Main Authors: Urbano Lorenzo-Seva, Joost R. Van Ginkel
Format: Article
Language:English
Published: Servicio de Publicaciones
Series:Anales de Psicología
Subjects:
Valores perdidos
Imputación Hot-Deck
Imputación Predictive mean matching
Imputación múltiple
Consensus Rotation
Puntuaciones factoriales
Análisis factorial exploratorio
Online Access:http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-97282016000200034&lng=en&tlng=en

Internet

http://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-97282016000200034&lng=en&tlng=en

Similar Items