PSYC 3250 Lecture Notes - Lecture 11: Job Performance, Statistical Hypothesis Testing
Document Summary
Confirms the statistical relationships between predictors and criteria. Criterion: measure used to determine accuracy of a decision. To determine criterion related validity: correlate test scores with desired measures of success. Can range from 0-1 r=. 4, r2=. 16, 16% of the variance in our criterion is explained by the predictor. Correlation between predictor and criterion (r) r2=the amount of variance in the criterion that is explained by the predictor. Follows an entire pool of participants through testing (on the predictor and the criterion: concurrent. Examines an available sample of participants (on both the predictor and the criterion) Argued to provide the most accurate estimate of the correlation between predictors and criteria. Practical in terms of cost and time, etc. We aren"t able to see the full range of the correlation between predictor scores and criterion scores. Ideally, your predictors should accurately reflect the outcomes associated with the criteria (success/failure) Have to compare accurate predictions with false negatives and false positives.