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SKDA in Context

Published online by Cambridge University Press:  29 June 2017

William H. Macey  and
Diane L. Daum
William H. Macey*
Affiliation:
CultureFactors, Inc.
Diane L. Daum
Affiliation:
CEB
*
Correspondence concerning this article should be addressed to William H. Macey, CultureFactors, Inc., 175 N. Franklin St., Suite 401, Chicago, IL 60606. E-mail: wmacey@culturefactors.com, wmacey9@gmail.com
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Extract

In contrast to the view that survey key driver analysis (SKDA) is a misused and blind empirical process, we suggest it is a reasonable, hypothesis-driven approach that builds on cumulative knowledge drawn from both the literature and practice, and requires reasoned judgment about the relationships of individual items to the constructs they represent and the criteria of interest. The logic of key driver analysis in applied settings is no different than the logic of its application in fundamental research regarding employee attitudes (e.g., Dalal, Baysinger, Brummel, & LeBreton, 2012). However, there are important survey design and analysis issues with respect to how key driver analyses are best conducted. Just some of these are discussed below.

Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 10 , Issue 2 , June 2017 , pp. 268 - 277
Copyright
Copyright © Society for Industrial and Organizational Psychology 2017 

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