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1991•Statistica NeerlandicaRequires access

Models with latent variables: LISREL versus PLS

Hans Schneeweiß

Open publisher page 52 citations

Abstract

Summary: LISREL and PLS are two different ways of modelling latent variables and their relations to each other within a set of manifest variables. These two models are contrasted with each other. In the special case of two groups of manifest variables the relations that exist between corresponding parameters and latent variables of both types of models are revealed.

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What this paper is about

Summary: LISREL and PLS are two different ways of modelling latent variables and their relations to each other within a set of manifest variables. These two models are contrasted with each other. In the special case of two groups of manifest variables the relations that exist between corresponding parameters and latent variables of both types of models are revealed.

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Available abstract

Summary: LISREL and PLS are two different ways of modelling latent variables and their relations to each other within a set of manifest variables. These two models are contrasted with each other. In the special case of two groups of manifest variables the relations that exist between corresponding parameters and latent variables of both types of models are revealed.

Key concepts: LISREL, Latent variable, Structural equation modeling, Mathematics, Econometrics, Statistics, Set (abstract data type), Latent variable model

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