When a test developer calculates an estimate of how much students' scores vary due to unreliability, they are most interested in

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Quizplus · Accepted Answer

The standard error of measurement indicates how much of the variability in students' test scores can be attributed to random error, or unreliability in the test itself. This is a crucial consideration in test development and interpretation, as it helps ensure that the test is a reliable measure of the construct it is intended to assess. Confidence intervals and measures of central tendency are useful but do not specifically address the issue of unreliability. Construct validity is a separate issue related to whether the test actually measures the construct it is intended to measure.

When a Test Developer Calculates an Estimate of How Much