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Using biodata as a predictor of errors, tardiness, policy violations, overall job performance, and turnover among nurses

Published online by Cambridge University Press:  02 February 2015

J Bret Becton ,
Michael C Matthews ,
David L Hartley  and
L Douglas Whitaker
J Bret Becton
Affiliation:
College of Business, University of Southern Mississippi, Hattiesburg, MS, USA
Michael C Matthews
Affiliation:
College of Business, Winthrop University, Rock Hill, SC, USA
David L Hartley
Affiliation:
Workday Inc, Atlanta, GA, USA
L Douglas Whitaker
Affiliation:
Workday Inc, Atlanta, GA, USA
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Abstract

The current study examined the use of biographical data to predict errors, tardiness, policy violations, overall job performance, and turnover among nurses. The results of the study indicate that biodata measures are valid selection devices for nurses and effective at predicting nurse errors, tardiness, policy violations, and overall job performance, but the instrument was not an effective predictor of turnover, voluntary or involuntary. Additionally, examination of group differences revealed that White subjects scored significantly higher on the biodata instrument compared to Black subjects but produced group differences considerably smaller than typically found with measures of cognitive ability. Future research directions and implications for practice are discussed.

Keywords

biodatajob performanceturnovererrorstardinesshealthcare
Type
Retaining skilled healthcare workers
Information
Journal of Management & Organization , Volume 18 , Issue 5: Healthcare management: Progress, problems and solutions , September 2012 , pp. 714 - 727
Copyright
Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2012

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