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Department of Statistics, UCLA
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Testing Model Nesting and Equivalence
P M. Bentler, UCLA
Albert Satorra, Universitat Pompeu Fabra

Download the Paper (490 K, PDF file) - September 27, 2008 Tell a colleague about it.
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ABSTRACT:
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.

SUGGESTED CITATION:
P M. Bentler and Albert Satorra, "Testing Model Nesting and Equivalence" (September 27, 2008). Department of Statistics, UCLA. Department of Statistics Papers. Paper 2008092701.
http://repositories.cdlib.org/uclastat/papers/2008092701

 
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