A measure of reliability determined by administering the same test twice.

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Multiple Choice

A measure of reliability determined by administering the same test twice.

Explanation:
Test stability over time is what this item is about. When you give the same test on two separate occasions and the scores are similar, you’re assessing whether the measure yields consistent results across time. This approach, by examining the relationship between the two administrations, is called test-retest reliability. It shows that random fluctuations in performance from one sitting to another don’t largely distort the measurement, as long as the construct hasn’t truly changed and the interval is appropriate to minimize memory or practice effects. A high level of agreement between the two sets of scores indicates the test is reliably capturing the same thing across time. In contrast, splitting the test into two halves and checking consistency within a single administration examines internal consistency, not stability over time, and validity concerns whether the test actually measures what it intends to measure rather than how consistently it performs.

Test stability over time is what this item is about. When you give the same test on two separate occasions and the scores are similar, you’re assessing whether the measure yields consistent results across time. This approach, by examining the relationship between the two administrations, is called test-retest reliability. It shows that random fluctuations in performance from one sitting to another don’t largely distort the measurement, as long as the construct hasn’t truly changed and the interval is appropriate to minimize memory or practice effects. A high level of agreement between the two sets of scores indicates the test is reliably capturing the same thing across time. In contrast, splitting the test into two halves and checking consistency within a single administration examines internal consistency, not stability over time, and validity concerns whether the test actually measures what it intends to measure rather than how consistently it performs.

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