Two-Level Dynamic Structural Equation Models with Small Samples

Dynamic Structural Equation Models

ISSN: 1070-5511 (Print) 1532-8007 (Online) Journal homepage: http://www.tandfonline.com/loi/hsem20 Dynamic Structural Equation Models Tihomir Asparouhov, Ellen L. Hamaker & Bengt Muthén To cite this article: Tihomir Asparouhov, Ellen L. Hamaker & Bengt Muthén (2017): Dynamic Structural Equation Models, Structural Equation Modeling: A Multidisciplinary Journal To link to this article: https://do...

Structural Equation Modelling for small samples

Covariance-based SEM is usually used with an objective of model validation and needs a large sample (what is large varies from an author to another: more than 100 subjects and preferably more than 200 subjects are often mentioned). Component-based SEM is mainly used for score computation and can be carried out on very small samples. A research based on 6 subjects has been published by Tenenhaus...

Testing Multinormality in Two-level Structural Equation Models

Structural Equation Modeling with Small Samples: Test Statistics.

Structural equation modeling is a well-known technique for studying relationships among multivariate data. In practice, high dimensional nonnormal data with small to medium sample sizes are very common, and large sample theory, on which almost all modeling statistics are based, cannot be invoked for model evaluation with test statistics. The most natural method for nonnormal data, the asymptoti...

Structural Equation Models with Small Samples: A Comparative Study of Four Approaches