| 000 | 01166nam a2200205Ia 4500 | ||
|---|---|---|---|
| 008 | 210223s9999 xx 00 und d | ||
| 100 |
_aV Srinivasan _982 |
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| 520 | _a"We report on an approach for aiding and strengthening the MBA Admissions process that was used at the Stanford University Graduate School of Business. Multiple regression models were used to make predictions of the academic performance of an applicant, if admitted to the MBA program. The present paper focuses on the prediction of academic performance. We discuss in detail the development of criterion variables, the secification of predictor variables, and the development estimation and validation of models to predict academic performance as well as issues associated with the implementation of the approach." | ||
| 650 |
_aEducation _983 |
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| 654 | _a Academic Performance | ||
| 654 | _a Multiple Regression models | ||
| 654 | _aMBA Program | ||
| 773 | _tThe Great Lakes Herald | ||
| 942 | _cAR | ||
| 245 | _aPredicting Academic Performance of MBA Program Applicants | ||
| 260 | _c2018-07-19 | ||
| 300 | _a42 | ||
| 440 |
_p2 _v11 _984 |
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| 700 |
_aWitink Dick R _aZweig Bruce M _985 |
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| 999 |
_c35819 _d35819 |
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