Experimental design and data analysis in computer simulation studies in the behavioral sciences

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Abstract

Treating computer simulation studies as statistical sampling experiments subject to established principles of experimental design and data analysis should further enhance their ability to inform statistical practice and a program of statistical research. Latin hypercube designs to enhance generalizability and meta-analytic methods to analyze simulation results are presented.

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Harwell, M., Kohli, N., & Peralta, Y. (2017). Experimental design and data analysis in computer simulation studies in the behavioral sciences. Journal of Modern Applied Statistical Methods, 16(2), 3–28. https://doi.org/10.22237/jmasm/1509494520

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