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Using Linear Programming to Determine Post-Facto Consistency in Performance Evaluations of Major League Baseball Players

Christopher Zappe, William Webster and Ira Horowitz
Additional contact information
Christopher Zappe: Management Department, Bucknell University, Lewisburg, Pennsylvania 17837
William Webster: Decision and Information Sciences Department, 351 Business Building, University of Florida, Gainesville, Florida 32611-2017
Ira Horowitz: Decision and Information Sciences Department, 351 Business Building, University of Florida, Gainesville, Florida 32611-2017

Interfaces, 1993, vol. 23, issue 6, 107-113

Abstract: We use linear programming to judge the consistency of the performance appraisals that Bill James has made of major league baseball players. In particular, we use a linear programming model to determine whether weights for the set of performance measures can be found such that the players' ordinal ratings can be reconstructed. This approach can be used to judge the consistency of performance appraisals for groups of employees.

Keywords: programming: linear applications; recreation/sports (search for similar items in EconPapers)
Date: 1993
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:23:y:1993:i:6:p:107-113

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