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.
DOI
10.22237/jmasm/1509494520
Recommended Citation
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. doi: 10.22237/jmasm/1509494520
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons