The General Model, Part I

Latent Variable and Measurement Models Combined

Bibliographic Data

ID23740653
AuthorsK A Bollen (0000-0002-6710-3800, corresponding author)
Year1989
Pages319-394
Publication date1989-04-28
Peer ReviewedYes
Open AccessNo
TypeOTHER
VenueStructural Equations with Latent Variables (JOURNAL)
PublisherWiley (PUBLISHER • GB)
DOI10.1002/9781118619179.ch8
OpenAlexW1510390141
ISBN9781118619179
LanguageEN
Citations received4

The general structural equation model, the topic of this chapter, represents a synthesis of these two model types. It consists of a measurement model that specifies the relation of observed to latent variables and a latent variable model that shows the influence of latent variables on each other. The chapter topics are as follows: model specification, implied covariance matrix, identification, estimation and model evaluation, standardized and unstandardized coefficients, means and equation constants, comparing groups, missing values, and the decomposition of effects in path analysis. It illustrates methods to estimate standardized coefficients, constant terms in equations, and the means of latent variables. The chapter covers the methods of comparing parameters across independent groups and of handling missing values. Finally it demonstrates a procedure to decompose the total, direct, indirect, and specific effects that applies to any type of structural equation model.

Constant (computer programming) · Covariance · Covariance matrix · Latent class model · Latent variable · Latent variable model · Mathematical analysis · Missing data · Path analysis (statistics) · Path coefficient · Statistics · Structural equation modeling · Variable (mathematics) · Applied Mathematics · Computer Science · Hemodynamic Monitoring and Therapy · Mathematics · Psychometric Methodologies and Testing · Statistical Methods and Bayesian Inference

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