Paper Info
Title
A Two-Step Approach For Transforming Continuous Variables To Normal: Implications And Recommendations For Is Research
Abstract
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 scarcely used in the social sciences, and has not been used in any IS study. The article illustrates how to implement the approach in Excel, SPSS, and SAS and explains implications and recommendations for IS research.
Year
Venue
Keywords
2011
COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS
math modeling, discipline, interdisciplinary, reference theory, contributing theory
Field
DocType
Volume
Data mining,Computer science,Operations research,Continuous variable,Percentile rank,Management science
Journal
28
ISSN
Citations 
PageRank 
1529-3181
9
0.52
References 
Authors
8
1
Name
Order
Citations
PageRank
Gary F. Templeton125715.75