Abstract
This article evaluates and compares the performance of two ratio scaling methods, the eigenvalue method proposed by Saaty (1977, 1980) and the geometric mean procedure advocated by Williams and Crawford (1980), given random data. The two methods were ex amined in a series of monte carlo simulations for two response methods (direct estimation and constant sum) and various numbers of stimuli and response scales. The sampling distributions of the measures of consist ency of the two methods were tabulated, rules for de tecting and rejecting inconsistent respondents are out lined, and approximation formulas for other designs are derived. Overall, there was a high level of agree ment and correspondence between the results from the two scaling techniques even when the data were ran dom.
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