Quantifying Parsimony in Structural Equation Modeling
نویسندگان
چکیده
منابع مشابه
Quantifying Parsimony in Structural Equation Modeling.
Fitting propensity (FP) is defined as a model's average ability to fit diverse data patterns, all else being equal. The relevance of FP to model selection is examined in the context of structural equation modeling (SEM). In SEM it is well known that the number of free model parameters influences FP, but other facets of FP are routinely excluded from consideration. It is shown that models posses...
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ژورنال
عنوان ژورنال: Multivariate Behavioral Research
سال: 2006
ISSN: 0027-3171,1532-7906
DOI: 10.1207/s15327906mbr4103_1