Latent-variable models in criminological research: Applications and a generalization of Joreskog's LISREL model

This paper examines issues in LISREL models involving latent, or unobserved, variables. We discuss estimating parameters in multiple-indicator models, various approaches to assessing goodness of fit, different types of linear measurement models, using LISREL to correct for attenuation in models invo...

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Detalles Bibliográficos
Autor principal: Smith, Douglas A. (Autor)
Otros Autores: Patterson, E. Britt
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 1985
En: Journal of quantitative criminology
Año: 1985, Volumen: 1, Número: 2, Páginas: 127-158
Acceso en línea: Volltext (lizenzpflichtig)
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Palabras clave:
LISREL
Latent variables
measurement models
structural equations
Descripción
Sumario:This paper examines issues in LISREL models involving latent, or unobserved, variables. We discuss estimating parameters in multiple-indicator models, various approaches to assessing goodness of fit, different types of linear measurement models, using LISREL to correct for attenuation in models involving single indicators with known reliabilities, and estimating parameters in structural equation models involving latent exogenous and endogenous variables. Finally, we present a generalization of the standard LISREL model which explicitly identifies implicit constraints on parameters in the standard LISREL model. We argue that the generalization can accommodate a wider range of models and provide additional diagnostic information on some assumptions in the standard LISREL model. By example, we show how the more general model can be estimated using Joreskog's LISREL program.
ISSN:1573-7799
DOI:10.1007/BF01062212