Predictive validity focuses on how well an assessment tool can predict the outcome of some other separate, but related, measure. The most comprehensive meta-analysis by Frank Schmidt and John Hunter was recently updated (Schmidt, 2016): based on a gigantic data sample. Like concurrent validity, predictive validity tests an assessment against a criterion.Unlike concurrent validity, this criterion exists in the future. Criterion validity describes how a test effectively estimates an examinee’s performance on some outcome measure(s). Predictive validity is important in the business and academic sectors where selecting the right candidate or accepting the right students is important. For example, the validity of a cognitive test for job performance is the demonstrated relationship between test scores and supervisor performance ratings. SAT and ACT tests used by colleges and universities are an example of predictive validity. The test scores are truly useful if they can provide a basis for precise prediction of some criteria. The difference of the time period between the administering of the two tests allows the correlation to possess a predictive quality. When the measurement we created has high predictive validity, we will be able to forecast a future scenario based on our understanding of the construct. The outcome measure, called a criterion, is the main variable of interest in the analysis. Out of these, the content, predictive, concurrent and construct validity are the important ones used in the field of psychology and education. The following six types of validity are popularly in use viz., Face validity, Content validity, Predictive validity, Concurrent, Construct and Factorial validity. Predictive validity studies take a long time to complete and require fairly large sample sizes in order to acquire meaningful aggregate data. For example, participants that score high on the new measurement procedure would also score high on the well-established test; and the same would be said for medium and low scores. Criterion validity is split into two different types of outcomes: Predictive validity and concurrent validity. Predictive validity and concurrent validity are two approaches of criterion validity. There are two forms of criterion-related validity: predictive validity and concurrent validity. One of the classic examples of this is college entrance testing. Setting the greater theoretical discussion aside, there is plenty of evidence that using structured methods for recruitment (such as personality tests or cognitive tests) has high predictive validity. Predictive validity, or more specifically, the ability to predict medication effects—both positive and negative—is the most salient of the types of model validity (face, construct, and predictive) for the evaluation of potential medications. 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