PSY 370 Lecture Notes - Lecture 35: Psy
Document Summary
Remember that the significance of a correlation depends on the sample size. So, "significance" alone isn"t a good criterion for determining validity, so long as you had a big enough sample to get a good estimate of the correlation. Compare test scores with the criterion at the same time. This describes the present--does not tell you about the future. And then correlate test scores now with a criterion measured at some point in the future. ***this can show that the test does predict future behavior. Concurrent is better for when you aren"t trying to make predictions about the future. Takes a long time to get all the data. Less risky in the short term for selection. When we don"t have all of the variance we should in one variable it weakens the correlation we"re able to find. Correlation between two variables is weakened when we don"t have much variability in one or both variables.
