A Robust Nonparametric Measure of Effect Size Based on an Analog of Cohen's d, Plus Inferences About the Median of the Typical Difference

Rand Wilcox · 2019
DOI: 10.22237/jmasm/1551905677

Abstract

The paper describes a nonparametric analog of Cohen’s d, Q. It is established that a confidence interval for Q can be computed via a method for computing a confidence interval for the median of D = X1 − X2, which in turn is related to making inferences about P(X1 \textless X2).

Reference

Rand Wilcox “A Robust Nonparametric Measure of Effect Size Based on an Analog of Cohen’s d, Plus Inferences About the Median of the Typical Difference” (2019) DOI: 10.22237/jmasm/1551905677

@Article{wilcox2019,
  title = {A Robust Nonparametric Measure of Effect Size Based on an Analog of Cohen's d, Plus Inferences About the Median of the Typical Difference},
  volume = {17},
  issn = {1538-9472},
  url = {https://digitalcommons.wayne.edu/jmasm/vol17/iss2/1},
  doi = {10.22237/jmasm/1551905677},
  abstract = {The paper describes a nonparametric analog of Cohen's d, Q. It is established that a confidence interval for Q can be computed via a method for computing a confidence interval for the median of D = X1 − X2, which in turn is related to making inferences about P(X1 \textless X2).},
  language = {en},
  number = {2},
  urldate = {2020-01-07},
  journal = {Journal of Modern Applied Statistical Methods},
  author = {Wilcox, Rand},
  month = {mar},
  year = {2019},
  pages = {jmasm.eP2726},
  custom-url-pdf = {https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=2726&context=jmasm}
}