Using existing technology, it can be hard or impossible to determine whether two structural equation models that are being considered may be nested. There is also no routine technology for evaluating whether two very different structural models may be equivalent. A simple procedure is proposed that uses model-reproduced moment matrices to evaluate both model nesting and equivalence. Two standard applications are to verify whether or not two proposed models are equivalent, and whether a baseline model used in an incremental fit index is appropriately nested
In this chapter we discuss two related issues relevant to traditional methods of comparing alternati...
Covariance-based structural equation modeling is a popular statistical technique in information syst...
Despite the sensitivity of fit indices to various model and data characteristics in structural equat...
Using existing technology, it can be hard or impossible to determine whether two structural equation...
When using existing technology, it can be hard or impossible to determine whether two structural equ...
A necessary and sufficient condition for equivalence of structural equation models is presented. Com...
Decades of published methodological research have shown the chi-square test of model fit performs in...
Defining equivalent models as those that reproduce the same set of covariance matrices, necessary an...
Assessing the correctness of a structural equation model is essential to avoid drawing incorrect con...
In this paper, we apply Vuong’s (1989) likelihood ratio tests of non-nested models to the comparison...
Model validation is often realized as a test of how well model predictions match a set of independen...
In the traditional model comparison procedure, two nested structural models are hypothesized to be e...
For structural equation models, a huge variety of fit indices has been developed. These indices, how...
Traditional model comparison procedure selects nested structured models by evaluating the feasibilit...
Model validation that is based on statistical inference seeks to construct a statistical comparison ...
In this chapter we discuss two related issues relevant to traditional methods of comparing alternati...
Covariance-based structural equation modeling is a popular statistical technique in information syst...
Despite the sensitivity of fit indices to various model and data characteristics in structural equat...
Using existing technology, it can be hard or impossible to determine whether two structural equation...
When using existing technology, it can be hard or impossible to determine whether two structural equ...
A necessary and sufficient condition for equivalence of structural equation models is presented. Com...
Decades of published methodological research have shown the chi-square test of model fit performs in...
Defining equivalent models as those that reproduce the same set of covariance matrices, necessary an...
Assessing the correctness of a structural equation model is essential to avoid drawing incorrect con...
In this paper, we apply Vuong’s (1989) likelihood ratio tests of non-nested models to the comparison...
Model validation is often realized as a test of how well model predictions match a set of independen...
In the traditional model comparison procedure, two nested structural models are hypothesized to be e...
For structural equation models, a huge variety of fit indices has been developed. These indices, how...
Traditional model comparison procedure selects nested structured models by evaluating the feasibilit...
Model validation that is based on statistical inference seeks to construct a statistical comparison ...
In this chapter we discuss two related issues relevant to traditional methods of comparing alternati...
Covariance-based structural equation modeling is a popular statistical technique in information syst...
Despite the sensitivity of fit indices to various model and data characteristics in structural equat...