Convergent validity describes how closely various measures that are used to evaluate the same construct or phenomenon are related to one another. Discriminant validity describes how little correlation exists between various measures that are used to evaluate various constructs or phenomena. Four comparisons are frequently made to demonstrate convergent and discriminant validity:
- Comparing the correlations between various measures of the same construct is known as convergent validity. For instance, if you're attempting to gauge intelligence, you might compare the correlations between the results of one intelligence test and the results of another. High correlation between the two tests indicates that they are measuring the same construct (intelligence), and as a result, have convergent validity.
- Convergent validity is the comparison of the correlations between a construct's measure and other construct-related measures. Indicators of intelligence and memory may be related, and the intelligence test may have convergent validity, if the two tests are highly correlated.
- Discriminant validity is the comparison of the correlations between a construct's measure and a measure of a different construct. If there is no correlation between the two tests, then the intelligence test may have discriminant validity and intelligence and personality may not be related constructs.
- Discriminant validity is the comparison of the correlations between various measures of unrelated constructs. If there is no correlation between the two assessments, it is likely that intelligence and personality are unrelated concepts and that both assessments have discriminant validity.
Furthermore, factor analysis is the process of comparing the correlations between various measures to establish convergent and discriminant validity.
Learn more about convergent and discriminant validity here: https://brainly.com/question/28340851
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