A Two-Step Approach for Transforming Continuous Variables to Normal: Implications and Recommendations for IS Research

Gary F. Templeton

DOI:10.17705/1CAIS.02804

Corpus ID: 28308109

A Two-Step Approach for Transforming Continuous Variables to Normal: Implications and Recommendations for IS Research

@article{Templeton2011ATA,
  title={A Two-Step Approach for Transforming Continuous Variables to Normal: Implications and Recommendations for IS Research},
  author={Gary F. Templeton},
  journal={Commun. Assoc. Inf. Syst.},
  year={2011},
  volume={28},
  pages={4}
}

Gary F. Templeton

Published 2011

Computer Science

Commun. Assoc. Inf. Syst.

This article describes and demonstrates a two-step approach for transforming non-normally distributed continuous variables to become normally distributed. Step 1 involves transforming the variable into a percentile rank, which will result in uniformly distributed probabilities. Step 2 applies the inverse-normal transformation to the results of the first step to form a variable consisting of normally distributed z-scores. The approach is little-known outside the statistics literature, has been… CONTINUE READING

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