Optimal experimental design for model discrimination.

Jay I. Myung · Mark A. Pitt

140 citations0/0 files storedPsychological Review

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Optimal Experimental Design Methods Statistical Methods and Bayesian Inference Psychology Research and Bibliometrics

Abstract

Models of a psychological process can be difficult to discriminate experimentally because it is not easy to determine the values of the critical design variables (e.g., presentation schedule, stimulus structure) that will be most informative in differentiating them. Recent developments in sampling-based search methods in statistics make it possible to determine these values and thereby identify an optimal experimental design. After describing the method, it is demonstrated in 2 content areas in cognitive psychology in which models are highly competitive: retention (i.e., forgetting) and categorization. The optimal design is compared with the quality of designs used in the literature. The findings demonstrate that design optimization has the potential to increase the informativeness of the experimental method.

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References

1985CHAPMAN AND HALL 1978Context theory of classification learning.1986Attention, similarity, and the identification-categorization relationship.2014The Atomic Components of Thought 1993Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.1995Bayesian Experimental Design: A Review 1999The Atomic Components of Thought 1993Optimum Experimental Designs

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