Assessing and managing nonnormality in SEM using AMOS

This video presentation reviews strategies for assessing non-normality and dealing with issues of non-normality using the AMOS program. The discussion reviews the use of bootstrapping as a strategy for assessing model fit and correcting standard errors. The example comes from Chapter 12 of Byrne's book: https://www.routledge.com/Structural-...

A copy of the dataset can be downloaded here: https://drive.google.com/file/d/1skv6...

A copy of the AMOS file (with the CFA model) can be downloaded here: https://drive.google.com/file/d/1K8Iy...

An additional powerpoint presentation can be downloaded here: https://drive.google.com/file/d/1dBEc...

Although the presentation uses CFA as an example, many of the concepts are applicable to other forms of SEM, such as path analysis using observed and latent variables.

For more instructional videos and other materials on various statistics topics, be sure to my webpages at the links below:

Introductory statistics:
https://sites.google.com/view/statist...
Multivariate statistics:
https://sites.google.com/view/statist...