Which of the following principle is used by parsimonious fit indices?

Correct option is A

Parsimonious fit indices are based on Occam's razor, which is the principle of parsimony stating that simpler explanations or models with fewer parameters are preferred when they fit the data equally well.

Information Booster:
• Parsimonious fit indices penalize model complexity by considering both model fit and the number of parameters
• Common parsimonious fit indices include RMSEA (Root Mean Square Error of Approximation), AIC (Akaike Information Criterion), and BIC (Bayesian Information Criterion)
• Occam's razor, also called the principle of parsimony, suggests that among competing hypotheses, the one with the fewest assumptions should be selected
• Parsimony in statistical modeling helps prevent overfitting and improves model generalizability
• These indices balance goodness of fit against model simplicity, rewarding models that explain data with fewer parameters
• The principle is widely used in structural equation modeling (SEM) and confirmatory factor analysis (CFA)