The increasing awareness and concern with equity issues in higher education, along with the escalating litigation, has prompted institutions to undertake salary prediction studies. Four prediction models (built on a males only and total sample) were compared: (1) entering all variables, (2) excluding rank and tenure, (3) using predicted rank and tenure, and (4) using only “objective” variables. Models were tested using all permanent full-time faculty at a large midwestern university. Using predicted rank and tenure was the most suitable for equity studies. Including all variables yielded the best results for explaining/predicting reward systems. The other two models did not appear appropriate for either purpose. The males only sample consistently produced the largest bias effects. Institutions considering a salary prediction study should find these outcomes helpful in determining appropriate analytical strategies.
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Johnson, C.B., Riggs, M.L. & Downey, R.G. Fun with numbers: Alternative models for predicting salary levels. Res High Educ 27, 349–362 (1987). https://doi.org/10.1007/BF00991663
- High Education
- Prediction Model
- Total Sample
- Alternative Model
- Education Research