To Log or Not to Log: Bootstrap as an Alternative to the Parametric Estimation of Moderation Effects in the Presence of Skewed Dependent Variables

Simple item page
dc.contributor.authorCraig J. Russell
dc.contributor.authorMichelle A. Dean
dc.date.accessioned2016-01-14T19:53:37Z
dc.date.accessioned2016-03-30T15:32:13Z
dc.date.available2016-01-14T19:53:37Z
dc.date.available2016-03-30T15:32:13Z
dc.date.issued2000-04-01
dc.description.abstractWhen gross deviations from parametric assumptions are observed, conventional data transformations are often applied with little regard for substantive theoretical implications. One such transformation involves using the logarithm of positively skewed dependent variables. Log transformations were shown to severely decrease estimates of true moderator effects using moderated regression procedures in a Monte Carlo simulation. Estimates of moderator effect sizes were substantially better estimates of the true latent moderator effect (i.e., larger by a multiple of 2.6 to 534) when estimated using a simple percentile bootstrap procedure in the original, positively skewed data. Conclusions with regard to the presence or absence of a true moderator effect using a simple bootstrap procedure were unaffected by the violation of parametric assumptions in the original, positively skewed data. In contrast, moderated regression analysis performed on a log-transformed dependent variable severely increased Type-II error. Implications are drawn for applied psychological and management research.en_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttps://us.sagepub.com/en-us/nam/manuscript-submission-guidelinesen_US
dc.identifier.citationRussell, C. J., & Dean, M. A. (2000). To Log or Not to Log: Bootstrap as an Alternative to the Parametric Estimation of Moderation Effects in the Presence of Skewed Dependent Variables. Organizational Research Methods, 3(2), 166-185. doi: 10.1177/109442810032002en_US
dc.identifier.doi10.1177/109442810032002en_US
dc.identifier.urihttp://hdl.handle.net/11244/25359
dc.language.isoen_USen_US
dc.publisherOrganizational Research Methods
dc.rights.requestablefalseen_US
dc.titleTo Log or Not to Log: Bootstrap as an Alternative to the Parametric Estimation of Moderation Effects in the Presence of Skewed Dependent Variablesen_US
dc.typeResearch Articleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
10.1177.109442810032002.pdf
Size:
104.71 KB
Format:
Adobe Portable Document Format
Download

Collections

OU - Faculty and Staff Publications