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Year of Award



Master of Business Administration (MBA)


College of Business & Professional Studies

Degree Program



Business Administration


performance, criteria, decision making


An Assessment Center is a procedure in which the performance of a job candidate is evaluated in job simulations. In evaluating each candidate, performance ratings on individual behavioral dimensions within individual exercises must be combined across exercises to form Global Dimension Ratings {GDRs), and these GDRs must further be combined to form an Overall Assessment Rating (OAR).

Despite the evidence in the personality assessment and the decision-making literature supporting a mechanical combination of ratings into a global assessment rating, clinical methods of combining ratings continue to be used in assessment centers. The predictive validities of three methods of combining dimension ratings across exercises to derive GDRs for assessment center dimensions (e.g., Decisiveness) were compared; these methods were traditional "Clinical combining", "Unit-weighting", and "Optimal-weighting" (i.e., regression-weighting). The criteria for the Clinically combined, Unit—weighted, or Optimally weighted GDR predictors were Behaviorally Anchored Rating Scale (BARS) measures of on-the-job performance on the same behavioral dimensions as those rated in the assessment center.

No statistically significant differences were found between the predictive validities of the Clinically combined, Unit-weighted, or Optimally-weighted GDRs. However, if practitioners are considering replacing the traditional Clinical combination method with a mechanical combination method, several cautions are noted.


This thesis was selected for its superior quality, and was suggested as a good example for MBA students to follow.

Document Type

Restricted Thesis

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


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