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Full-Text Articles in Social and Behavioral Sciences
Model Comparisons Using Information Measures, C. Mitchell Dayton
Model Comparisons Using Information Measures, C. Mitchell Dayton
Journal of Modern Applied Statistical Methods
Methodologists have criticized the use of significance tests in the behavioral sciences but have failed to provide alternative data analysis strategies that appeal to applied researchers. For purposes of comparing alternate models for data, information-theoretic measures such as Akaike AIC have advantages in comparison with significance tests. Model-selection procedures based on a min(AIC) strategy, for example, are holistic rather than dependent upon a series of sometimes contradictory binary (accept/reject) decisions.