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[3] Criterion validity is typically assessed by comparison with a gold standard test. [4] An example of concurrent validity is a comparison of the scores of the CLEP College Algebra exam with course grades in college algebra to determine the degree to which scores on the CLEP are related to performance in a college algebra class. [5]
Concurrent validity and predictive validity are two types of criterion-related validity. The difference between concurrent validity and predictive validity rests solely on the time at which the two measures are administered. Concurrent validity applies to validation studies in which the two measures are administered at approximately the same time.
In psychometrics, predictive validity is the extent to which a score on a scale or test predicts scores on some criterion measure. [ 1 ] [ 2 ] For example, the validity of a cognitive test for job performance is the correlation between test scores and, for example, supervisor performance ratings.
The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure. [3] Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.
Convergent validity refers to the degree to which two measures of constructs that theoretically should be related, are in fact related. In contrast, discriminant validity tests whether concepts or measurements that are supposed to be unrelated are, in fact, unrelated. [19] Take, for example, a construct of general happiness.
The criterion is not the cutscore; the criterion is the domain of subject matter that the test is designed to assess. For example, the criterion may be "Students should be able to correctly add two single-digit numbers," and the cutscore may be that students should correctly answer a minimum of 80% of the questions to pass.
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Test validity is the extent to which a test (such as a chemical, physical, or scholastic test) accurately measures what it is supposed to measure.In the fields of psychological testing and educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests". [1]