Which of the following principle is used by parsimonious fit indices?
Occam's razor
Parsimonious fit indices, such as PGFI, PNFI and PCFI in structural equation modeling, adjust the goodness of fit by penalising the number of estimated parameters.
They therefore reward a model that explains the data adequately with as few parameters as possible, which is exactly the principle of parsimony popularly associated with Occam's razor. Preference for complexity and avoidance of simple explanation contradict parsimony, while goodness of fit alone does not penalise complexity.
Hence, the correct principle is Occam's razor.
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