 Effect of Selection Ratio on Predictor Utility Reject Accept Predictor Score Criterion Performance r =.40 Selection Cutoff Score sr =.50sr =.10sr =.95.

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Effect of Selection Ratio on Predictor Utility Reject Accept Predictor Score Criterion Performance r =.40 Selection Cutoff Score sr =.50sr =.10sr =.95

Effect of Predictor Validity on Predictor Utility Predictor Score Criterion Performance r =.40 Selection Cutoff Score sr =.50 r =.80r =.00

Effect of Base Rate on Predictor Utility Predictor Score Criterion Performance r =.40 br =.90 br =.10

Selection Decisions Reject Accept Predictor Score Criterion Performance Successful Performance Unsuccessful Performance r =.60 A B C D br =.50 sr =.50 True Negatives False Positives False Negatives r =1.00 True Positives sr =.75

Selection Strategies 3 Basic Strategies –Multiple Regression Assumes relationships between predictors and criterion are linear Assumes having a lot of one attribute compensates for having little of another –Multiple Cutoff Applicants must achieve a set, minimum score on all predictors –Multiple Hurdle Applicants must achieve satisfactory scores on a number of predictors that are administered over time.

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