| 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.;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. |
