Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-20T14:03:46.118Z Has data issue: false hasContentIssue false

Survey Key Driver Analysis: Perhaps the Right Question Is, “Are We There Yet?”

Published online by Cambridge University Press:  29 June 2017

Cameron Klein*
Affiliation:
IBM Kenexa
Rob Synovec
Affiliation:
IBM Kenexa
Haiyan Zhang
Affiliation:
IBM Kenexa
Chris Lovato
Affiliation:
IBM Kenexa
John Howes
Affiliation:
IBM Kenexa
Sheri Feinzig
Affiliation:
IBM Kenexa
*
Correspondence concerning this article should be addressed to Cameron Klein, IBM Kenexa, 2930 Ridge Line Road, Lincoln, NE 68516. E-mail: [email protected]

Extract

In their focal article, Cucina, Walmsley, Gast, Martin, and Curtin (2017) raise an important and timely issue, but go too far in arguing that practitioners should abandon survey key driver analysis (SKDA) altogether. There are many valuable benefits to using SKDA, and rather than discontinuing the practice entirely, we suggest that a better approach is to focus on ways to make it even more valuable to organizations. It is true that this area is in need of further research, but instead of asking whether we are driving down the right road, perhaps the right question is, “Are we there yet?”

Type
Commentaries
Copyright
Copyright © Society for Industrial and Organizational Psychology 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

We would like to thank Bob Weldon and Jeff Jolton for their valuable contributions to the thinking and research supporting this commentary. We would also like to thank our anonymous reviewers for their enormously helpful feedback.

References

Bosco, F. A., Aguinis, H., Singh, K, Field, J. G., & Pierce, C. A. (2015). Correlational effect size benchmarks. Journal of Applied Psychology, 100 (2), 431449.Google Scholar
Budescu, D. V. (1993). Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. Psychological Bulletin, 114 (3), 542551.Google Scholar
Cohen, J. (1992). A power primer. Psychological Bulletin, 112 (1), 155159.Google Scholar
Cucina, J. M., Walmsley, P. T., Gast, I. F., Martin, N. R., & Curtin, P. (2017). Survey key driver analysis: Are we driving down the right road? Industrial and Organizational Psychology: Perspectives on Science and Practice, 10 (2), 234257.Google Scholar
Johns, G. (2006). The essential impact of context on organizational behavior. Academy of Management Review, 31 (2), 386408.Google Scholar
Johnson, J. W. (2000). A heuristic method for estimating the relative weight of predictor variables in multiple regression. Multivariate Behavioral Research, 35 (1), 119.Google Scholar
LeBreton, J. M., Hargis, M. B., Griepentrog, B., Oswald, F. L., & Ployhart, R. E. (2007). A multidimensional approach for evaluating variables in organizational research and practice. Personnel Psychology, 60 (2), 475498.Google Scholar