Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-12-04T09:31:51.808Z Has data issue: false hasContentIssue false

The other published literature: Attrition modeling in the U.S. military as a bridge between turnover science and practice

Published online by Cambridge University Press:  13 November 2019

Dan J. Putka*
Affiliation:
Human Resources Research Organization
Rodney A. McCloy
Affiliation:
Human Resources Research Organization
Chad H. Van Iddekinge
Affiliation:
Florida State University
Huy Le
Affiliation:
University of Texas at San Antonio
*
*Corresponding author. Email: [email protected]

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentaries
Copyright
© Society for Industrial and Organizational Psychology 2019 

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.)

References

Campbell, J. P., & Wilmot, M. P. (2018). The functioning of theory in industrial, work, an organizational psychology (IWOP). In Anderson, N., Ones, D. S., Sinangil, H. K., & Viswesvaran, C., (Eds.), The Sage handbook of industrial, work, and organizational (IWOP) psychology: Volume 1 personnel psychology (2nd ed.) (pp. 337). London, UK: Sage.Google Scholar
Hambrick, D. C. (2007). The field of management’s devotion to theory: Too much of a good thing? Academy of Management Journal, 50, 13461352.CrossRefGoogle Scholar
Marshall-Mies, J. C., Jupton, T. B., Hirose, C., White, M. A., Mottern, J. A., & Eshwar, N. C. (2007). First Watch on the first term of enlistment: Cross-sectional and longitudinal analysis of data from the first year of the study (NPRST-TR-07-3). Millington, TN: Navy Personnel Research, Studies, and Technology Division. Retrieved from https://apps.dtic.mil/dtic/tr/fulltext/u2/a463174.pdfGoogle Scholar
McCloy, R. A., & DiFazio, A. S. (1996). Prediction of first-term military attrition using preenlistment predictors. In Campbell, J. P. & Zook, L. M. (Eds.), Building and retaining the career force: New procedures for accessing and assigning Army enlisted personnel (ARI Research Note 96-45, pp. 169214). Alexandria, VA: U.S. Army Research Institute for the Behavioral and Social Sciences. Retrieved from https://archive.org/details/DTIC_ADA309090Google Scholar
Putka, D. J., & Strickland, W. J. (2005). A comparison of the FY03 and FY99 first term attrition study cohorts (Study Report 2005-05). Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences. Available online at: https://apps.dtic.mil/dtic/tr/fulltext/u2/a440522.pdfCrossRefGoogle Scholar
Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis. New York, NY: Oxford University Press.CrossRefGoogle Scholar
Speer, A. B., Dutta, S., Chen, M., & Trussell, G. (2019). Here to stay or go? Connecting turnover research to applied attrition modeling. Industrial and Organizational Psychology: Perspectives on Science and Practice, 12(3), 272–296.Google Scholar
Strickland, W. J. (Ed.). (2005). A longitudinal examination of first term attrition and reenlistment among FY1999 enlisted accessions (Technical Report 1172). Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences. Retrieved from https://apps.dtic.mil/dtic/tr/fulltext/u2/a440522.pdfGoogle Scholar
White, M. A., Harris, R. N., Mottern, J. A., & Eshwar, N. C. (2008). First watch on the first term of enlistment: A summary and update of results from Version 1 of the First Watch Instruments (NPRST-TR-09-2). Millington, TN: Navy Personnel Research, Studies, and Technology Division. Retrieved from https://apps.dtic.mil/dtic/tr/fulltext/u2/a489579.pdfGoogle Scholar