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MOBTS 2022

MOBTS 2022 Proceedings - ISBN: 978-1-7346398-2-7 »

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Improving interrater reliability in the candidate selection process

Keywords: Applicant selection, interrater reliability, human resource management

Abstract: This session demonstrates a class exercise created to teach management students how to improve interrater reliability when rating candidate applications. Qualtrics was used to distribute a survey instrument designed to improve rater focus on fit with position qualifications and minimize implicit bias. Students rate multiple candidates using the instrument, and reports are delivered to show the degree evaluations of candidates differed between raters. Students learn the value of creating rigorous rubrics to improve the effectiveness of the selection process. Participants in this session will practice using the instrument and discuss applications in management and human resource management classes.

Rebecca Bull Schaefer, Gonzaga University (United States)
bullschaefer@gonzaga.edu

O.Ray Angle, Gonzaga University (United States)
angle@gonzaga.edu

 


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