Show simple item record

dc.contributor.authorRichardson, Hettie A.
dc.contributor.authorSimmering, Marcia J.
dc.contributor.authorSturman, Michael C.
dc.description.abstractA concern of researchers is the risk of measurement error due to common method variance (CMV) when using self-reported data. The present study addresses this concern by empirically comparing four techniques for correcting CMV. Eighteen simulated datasets, with varying degrees of method variance, group agreement, and reliability, were analyzed. Based on these analyses, benefits and drawbacks of correcting CMV using the different techniques are detailed. Recommendations for using the different techniques are also provided.
dc.rightsRequired Publisher Statement: ©Southern Management Association. Reprinted with permission. All rights reserved.
dc.subjectcommon method variance
dc.subjectstatistical techniques
dc.subjectpost hoc
dc.subjectdata simulation
dc.titleWill the Real Correlation Please Stand Up? An Examination of the Effectiveness of Statistical Corrections for Common Method Variance Using Data Simulation
dc.typeconference papers and proceedings
dc.description.legacydownloadsSturman97_Will_the_real_correlation_please_stand_up.pdf: 371 downloads, before Aug. 1, 2020.
local.authorAffiliationRichardson, Hettie A.: Louisiana State University
local.authorAffiliationSimmering, Marcia J.: Louisiana State University
local.authorAffiliationSturman, Michael C.: Cornell University

Files in this item


This item appears in the following Collection(s)

Show simple item record