Predictive validity measures:

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Multiple Choice

Predictive validity measures:

Explanation:
Predictive validity measures the extent to which a test is successful in predicting future behavior or outcomes that it is designed to assess. This means that a test with high predictive validity will accurately forecast how individuals will perform on specific tasks or in particular situations based on their test scores. For example, a standardized test used to predict academic performance in graduate school should ideally show a strong correlation with students' actual performance once they enroll. This concept is crucial because it helps validate the usefulness of a test in practical applications, ensuring that the results lead to meaningful predictions about future behaviors or achievements related to the construct being measured. A test with high predictive validity can enhance decision-making processes in various fields, such as education, clinical psychology, and employment.

Predictive validity measures the extent to which a test is successful in predicting future behavior or outcomes that it is designed to assess. This means that a test with high predictive validity will accurately forecast how individuals will perform on specific tasks or in particular situations based on their test scores. For example, a standardized test used to predict academic performance in graduate school should ideally show a strong correlation with students' actual performance once they enroll.

This concept is crucial because it helps validate the usefulness of a test in practical applications, ensuring that the results lead to meaningful predictions about future behaviors or achievements related to the construct being measured. A test with high predictive validity can enhance decision-making processes in various fields, such as education, clinical psychology, and employment.

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