  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.
