Showing 1–2 of 2 results for author: Toher, D

The performance of the partially overlapping samples t-tests at the limits

Authors: Ben Derrick, Deirdre Toher, Paul White

Abstract: This note includes an assessment of the partially overlapping samples t-tests in scenarios where elements of the test are at their extremes, including where only one sample contains independent observations This note includes an assessment of the partially overlapping samples t-tests in scenarios where elements of the test are at their extremes, including where only one sample contains independent observations △ Less

Submitted 3 June, 2019; originally announced June 2019.

An Inverse Normal Transformation Solution for the comparison of two samples that contain both paired observations and independent observations

Authors: Ben Derrick, Paul White, Deirdre Toher

Abstract: Inverse normal transformations applied to the partially overlapping samples t-tests by Derrick et.al. (2017) are considered for their Type I error robustness and power. The inverse normal transformation solutions proposed in this paper are shown to maintain Type I error robustness. For increasing degrees of skewness they also offer improved power relative to the parametric partially overlapping sa… ▽ More Inverse normal transformations applied to the partially overlapping samples t-tests by Derrick et.al. (2017) are considered for their Type I error robustness and power. The inverse normal transformation solutions proposed in this paper are shown to maintain Type I error robustness. For increasing degrees of skewness they also offer improved power relative to the parametric partially overlapping samples t-tests. The power when using inverse normal transformation solutions are comparable to rank based non-parametric solutions. △ Less

Submitted 1 August, 2017; originally announced August 2017.

Comments: Inverse Normal Transformations Partially overlapping samples