Increasing the number of observations dropped in the "middle" of the ordering will increase the power of the test but reduce the degrees of freedom for the test statistic.
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A pilot study performed at the University of San Francisco reported a significant increase in "mental health quality of life indices," though the authors noted that the dropout rate in the study reduced its statistical power.