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Minimizing the number of observations: A generalization of the spearman-brown formula
Authors:P. F. Sanders  T. J. J. M. Theunissen  S. M. Baas
Affiliation:(1) National Institute for Educational Measurement (Cito), The Netherlands;(2) Twente University, The Netherlands;(3) Cito PO Box 1034, 6801 MG Arnhem, The Netherlands
Abstract:A new method for determining the minimum number of observations per subject needed to achieve a specific generalizability coefficient is presented. This method, which consists of a branch-and-bound algorithm, allows for the employment of constraints specified by the investigator.
Keywords:generalizability coefficient  branch-and-bound-algorithm  optimization of decision studies
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