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Journal of Business and Psychology

, Volume 11, Issue 1, pp 101–112 | Cite as

The impact of four missing data techniques on validity estimates in human resource management

  • Philip L. Roth
  • James E. Campion
  • Steven D. Jones
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Abstract

While missing data are a commo problem in field settings, there is relatively little information in human Resource Management to guide researchers when they conduct analyses with incomplete data. This article discusses four techniques to deal wih missing data. The implications of using listwise deletion, pariwise deletion, mean substitution, and regression estimation are demonstrated in an applied selection situation. The importance of the manner in which data were missing is analyzed and discussed.

Keywords

Resource Management Social Psychology Human Resource Social Issue Missing Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Human Sciences Press, Inc 1996

Authors and Affiliations

  • Philip L. Roth
    • 3
  • James E. Campion
    • 1
  • Steven D. Jones
    • 2
  1. 1.University of HoustonUSA
  2. 2.Middle Tennessee State UniversityUSA
  3. 3.Department of Management, Sirrine HallClemson UniversityClemson

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