Generalizability theory is a measurement theory that provides a framework for examining the dependability of behavioral measurements. When limited resources are available determining the appropriate number of conditions to use in a measurement design is not a simple task. This paper presents a methodology for determining the optimal number of observations to use in a measurement design when resource constraints are imposed.
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