Improving your data transformations: Applying the Box-Cox transformation

By Jason W. Osborne. 2010

1,071 citations recorded by the source corpus.

Subfields: Health Information Management, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/de3b104904c273a818e8befc1777031a7c2defa1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Health Information Management

In Management Science and Operations Research

Citations in the corpus

Analyzing Skewed Continuous Outcomes With Many Zeros: A Tutorial for Social Work and Youth Prevention Science Researchers (2018, methodology): “Logarithmic, square root, and inverse transformations are used frequently (Osborne, 2010).”
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models (2017, result): “, Box-Cox transformation [7, 10], Blom transformation [73]) may yield different results [81].”
The Latent Structure of Spatial Skills and Mathematics: A Replication of the Two-Factor Model (2017, methodology): “We repeated the analyses after correcting for this skew using a Box-Cox transformation (Osborne, 2010), but we obtained the same pattern of results.”
The links between self-determined motivations and behavioral automaticity in a variety of real-life behaviors (2017, methodology): “Because behavioral frequency could be adequately normalized using the Box-Cox method (Osborne 2010), only this variable was retained for the analysis.”
Multiculturalism and Entrepreneurial Intentions: Understanding the Mediating Role of Cognitions (2018, methodology): “To resolve this, a square root transformation was performed (Osborne, 2010), which brought the scale to its Table 1”
Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches. (2012, background): “…Box–Cox family can produce transforms that are, for the purposes of correlation, equivalent to the inverse transformation (1/x) and the square-root transformation (i.e., certain Box–Cox transformations are linear transformations of the inverse and square-root transformations; see Osborne, 2010).”
Natural Enemies of the Fall Armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) in Ghana (2020, methodology): “Data were first analyzed using Box-Cox (PROC TRANSREG) and PROC UNIVARIATE to find the optimal normalizing transformation (Osborne 2010).”