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- W4782105 abstract "Abstract : This project develops and tests a new approach for improving the effectiveness of personnel selection and classification decisions There are three main data characteristics that cause difficulty for existing classification methods: (1) unbalanced group sizes, (2) unequal misclassification costs, and (3) non-normal data Preliminary research suggests a hybrid method incorporating data envelopment analysis (DEA) and linear programming discriminant analysis (DEA/DA) is effective in this difficult situation and outperforms other methods Research is conducted to fully develop and test this promising methodology. Results suggest ways DEA/DA may help alleviate long-standing selection and classification problems." @default.
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- W4782105 date "2002-12-31" @default.
- W4782105 modified "2023-09-24" @default.
- W4782105 title "Classification and Selection for Personnel Applications Using a Data Envelopment Analysis Approach" @default.
- W4782105 doi "https://doi.org/10.21236/ada409042" @default.
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