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Detecting bias in performance apprai...

TUI University.

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Detecting bias in performance appraisals.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Detecting bias in performance appraisals./
Author:	Washington, Mavis L.
Description:	293 p.
Notes:	Adviser: Alan B. Flaschner.
Contained By:	Dissertation Abstracts International69-04A.
Subject:	Business Administration, Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3313794
ISBN:	9780549624912

Detecting bias in performance appraisals.
Washington, Mavis L.

Detecting bias in performance appraisals. - 293 p.

Adviser: Alan B. Flaschner.

Thesis (Ph.D.)--TUI University, 2008.

Based on the premise that if decisions made by managers and supervisors for hiring, promoting, assessing, and terminating employees are based on individual biases and prejudices, those biases and prejudices need to be uncovered and controlled; the purpose of this dissertation is to create an instrument that detects and measures conscious and unconscious bias and prejudice based on race, gender, and age. For purposes of this study, when referring to gender, age, or racial bias or prejudice, I assume that the occurrence is based on discrimination. Detection is accomplished via statistical analysis of performance appraisals that uncovers patterns of bias in these evaluations.

ISBN: 9780549624912Subjects--Topical Terms:

626628
Business Administration, Management.

Detecting bias in performance appraisals.
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020 $a 9780549624912
035 $a (UMI)AAI3313794
035 $a AAI3313794
040 $a UMI $c UMI
100 1 $a Washington, Mavis L. $3 1035376
245 1 0 $a Detecting bias in performance appraisals.
300 $a 293 p.
500 $a Adviser: Alan B. Flaschner.
500 $a Source: Dissertation Abstracts International, Volume: 69-04, Section: A, page: 1442.
502 $a Thesis (Ph.D.)--TUI University, 2008.
520 $a Based on the premise that if decisions made by managers and supervisors for hiring, promoting, assessing, and terminating employees are based on individual biases and prejudices, those biases and prejudices need to be uncovered and controlled; the purpose of this dissertation is to create an instrument that detects and measures conscious and unconscious bias and prejudice based on race, gender, and age. For purposes of this study, when referring to gender, age, or racial bias or prejudice, I assume that the occurrence is based on discrimination. Detection is accomplished via statistical analysis of performance appraisals that uncovers patterns of bias in these evaluations.
520 $a Managers and employees were asked to complete a case scenario in which they gave merit pay increases to hypothetical employees. Through use of the analysis of covariance (ANCOVA) I determined the relative importance of the factors these managers and employees used in determining those raises. And, to the degree that these factors were important, I determined the biases of those respondents.
590 $a School code: 0622.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Sociology, Theory and Methods. $3 626625
690 $a 0344
690 $a 0454
710 2 $a TUI University. $3 1020258
773 0 $t Dissertation Abstracts International $g 69-04A.
790 $a 0622
790 1 0 $a Flaschner, Alan B., $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3313794