Keywords
UnobservableLatent variableStructural equation modelingLatent variable modelEconometricsLatent class modelApplied mathematicsMathematicsComputer scienceStatistics
Affiliated Institutions
Related Publications
Robustness of partial least-squares method for estimating latent variable quality structures
Latent variable structural models and the partial least-squares (PLS) estimation procedure have found increased interest since being used in the context of customer satisfaction...
REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling
Abstract Structural equation models (SEMs) make it possible to estimate the causal relationships, defined according to a theoretical model, linking two or more latent complex co...
Advances in Behavioral Genetics Modeling Using Mplus: Applications of Factor Mixture Modeling to Twin Data
Abstract This article discusses new latent variable techniques developed by the authors. As an illustration, a new factor mixture model is applied to the monozygotic–dizygotic t...
Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory
In marketing applications of structural equation models with unobservable variables, researchers have relied almost exclusively on LISREL for parameter estimation. Apparently th...
Models with latent variables: LISREL versus PLS
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 contraste...
Publication Info
- Year
- 2002
- Type
- book-chapter
- Pages
- 137-154
- Citations
- 242
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
242
OpenAlex
Cite This
Thomas T. H. Wan
(2002).
Structural Equation Models with Latent Variables.
, 137-154.
https://doi.org/10.1007/978-1-4615-0795-6_8
Identifiers
- DOI
- 10.1007/978-1-4615-0795-6_8