ABSTRACT
The last chapter of the book will cover numerous advanced topics using AMOS. The use of weighted scores in AMOS is addressed and how to adjust the importance of certain groups in the analysis. Next, Bayesian estimation is introduced with mixture modeling and analyzing censored data. Non-recursive modeling or modeling with feedback loops is covered along with how to analyze a SEM model when you have non-normal data. Other advanced topics such as post-hoc power analysis and using the specification search function to perform exploratory factor analysis are discussed.
The last half of this chapter is dedicated to the reader who would like to code or use syntax as the input for their SEM model. The use of the Plugins function in AMOS is addressed where the conceptualization of a model can take place via syntax, but analysis options are still presented through the graphics window. Lastly, how to use the dedicated program editor that allows you to use a coding format for the conceptualization, analysis, and presentation of results for a SEM model in AMOS is described.
