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The Impact Of Nested Testing On Experiment-Wise Type I Error Rate, Jack Sawilowsky
The Impact Of Nested Testing On Experiment-Wise Type I Error Rate, Jack Sawilowsky
Wayne State University Dissertations
When conducting a statistical test the initial risk that must be considered is a Type I error, also known as a false positive. The Type I error rate is set by nominal alpha, assuming all underlying conditions of the statistic are met. Experiment-wise Type I error inflation occurs when multiple tests are conducted overall for a single experiment. There is a growing trend in the social and behavioral sciences utilizing nested designs. A Monte Carlo study was conducted using a two layer design. Five theoretical distributions and four real datasets taken from Micceri (1989) were used, each with five different …