Managing Salary Equity. AIR Forum 1981 Paper [microform] / James E. Prather and Ellen I. Posey.

Technical considerations in the development of a salary equity model based upon regression analysis are reviewed, and a simplified salary prediction equation is examined. Application and communication of the results of the analysis within the existing operational context of a postsecondary instituti...

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Bibliographic Details
Online Access: Request ERIC Document
Main Author: Prather, James E.
Other Authors: Posey, Ellen I.
Format: Microfilm Book
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1981.
Subjects:

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245 1 0 |a Managing Salary Equity. AIR Forum 1981 Paper  |h [microform] /  |c James E. Prather and Ellen I. Posey. 
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500 |a ERIC Note: Paper presented at the Annual Forum of the Association for Institutional Research (21st, Minneapolis, MN, May 17-20, 1981).  |5 ericd. 
500 |a ERIC Document Number: ED205102. 
520 |a Technical considerations in the development of a salary equity model based upon regression analysis are reviewed, and a simplified salary prediction equation is examined. Application and communication of the results of the analysis within the existing operational context of a postsecondary institution are also addressed. The literature is reviewed, with an example of the application of the model provided. The model to predict salaries incorporates in the prediction equation rank, highest degress, administrative status, discipline, years-in-rank, endowed chair, and contract status. The total university prediction equation does not include discriminatory variables such as sex, race, age, or years-employed. A separate equation, incorporating these biased variables, which tests for the possible presence of salary inequities, is discussed. All instructional faculty on a contractual basis, numbering between 500 and 1,000, are included in the regression equation. Results from a multiple regression equation model guide the identification of individual faculty members who appear to be making high or low salaries for their status, discipline, and experience. A high level of predictability was shown in the model, and this result was in conformance to the actual salary structure. It is suggested that fundamental political skills are essential in balancing the forces that affect salaries, but a salary equity study can provide comprehensive information that decision-makers value when they manage conflict. A bibliography is appended. (SW) 
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650 0 7 |a Academic Rank (Professional)  |2 ericd. 
650 1 7 |a College Faculty.  |2 ericd. 
650 0 7 |a Departments.  |2 ericd. 
650 0 7 |a Educational Background.  |2 ericd. 
650 1 7 |a Employment Practices.  |2 ericd. 
650 0 7 |a Higher Education.  |2 ericd. 
650 1 7 |a Models.  |2 ericd. 
650 0 7 |a Multiple Regression Analysis.  |2 ericd. 
650 0 7 |a Personnel Policy.  |2 ericd. 
650 0 7 |a Prediction.  |2 ericd. 
650 1 7 |a Predictive Measurement.  |2 ericd. 
650 0 7 |a Predictor Variables.  |2 ericd. 
650 0 7 |a Regression (Statistics)  |2 ericd. 
650 1 7 |a Salary Wage Differentials.  |2 ericd. 
650 0 7 |a Teacher Characteristics.  |2 ericd. 
650 1 7 |a Teacher Salaries.  |2 ericd. 
700 1 |a Posey, Ellen I. 
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