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In Defense of Responsible Survey Key Driver Analysis

Published online by Cambridge University Press:  29 June 2017

Patrick K. Hyland ,
Vivian A. Woo ,
David W. Reeves II  and
Lewis Garrad
Patrick K. Hyland*
Affiliation:
Mercer | Sirota
Vivian A. Woo
Affiliation:
Mercer | Sirota
David W. Reeves II
Affiliation:
Mercer | Sirota
Lewis Garrad
Affiliation:
Mercer | Sirota
*
Correspondence concerning this article should be addressed to Patrick Hyland, Ph.D., Mercer | Sirota, Four Manhattanville Road, Purchase, NY 10577. E-mail: phyland@sirota.com
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Extract

In their focal article, Cucina, Walmsley, Gast, Martin, and Curtin (2017) raise a number of concerns about survey key driver analysis (SKDA). Although many are valid, we think their critique ultimately goes too far and risks throwing the baby out with the bathwater. We have found that SKDA can be an effective way to generate insight and action when analysis is done correctly and results are used appropriately. In this response article, we first provide data that counters Cucina et al.’s findings. Then we describe the approach we take to survey key driver analytics and application. In doing so, we hope to address some of the core concerns raised in the focal article and identify ways for scientists and practitioners to conduct SKDA in a responsible way.

Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 10 , Issue 2 , June 2017 , pp. 277 - 283
Copyright
Copyright © Society for Industrial and Organizational Psychology 2017 

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