Describe how the multiple regression and multiple cutoff differ in who each selects and predicts will be successful.
What will be an ideal response?
Student may refer to Figure 14.3, but the key is that some applicants will still be accepted and rejected by both, where there is an area of applicants that one will reject while the other accepts it. Those who will be treated differently depending on the particular model chosen are in Areas B, C, and D. If multiple regression is used, then those individuals in Areas C and D will be accepted, and those in Area B will be rejected. Exactly the opposite decisions will be made if the multiple-cutoff model is used: Those in Areas C and D will be rejected, and those in Area B will be accepted. In practice, the issue essentially boils down to the relative desirability of the individuals in Areas B, C, and D. To be sure, the multiple-cutoff model easily could be made less conservative by lowering the cutoff scores
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