Abstract
The Lenth test is a simple procedure to test for significant factorial effects in unreplicated 2k factorial experiments. Estimated factorial effects are standardized and compared to critical values from a t distribution with (2k − 1)/3 degrees of freedom. However, the procedure does not maintain its nominal Type I error rates in small experiments. This article presents a simulation study in which the Lenth procedure error rates are found for several common values of k under numerous specified nominal error rates. This procedure is then calibrated and critical values are revised to produce a variety of common Type I error rates.
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Thomas M. Loughin
Dr. Loughin is an Assistant Professor in the Department of Statistics and Statistical Laboratory.