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What is the relationship between measurement error and reliability?
Why is measuring error important? Reliability, theoretically speaking, is the relationship (correlation) between a person's score on parallel (equivalent) forms. As more error is introduced into the observed score, the lower the reliability will be. As measurement error is decreased, reliability is increased.
What is the relationship between reliability and error variance?
Reliability is defined as the proportion of true variance over the obtained variance. A reliability coefficient of . 85 indicates that 85% of the variance in the test scores depends upon the true variance of the trait being measured, and 15% depends on error variance.
What is the relationship between the standard error and the validity coefficient?
What is the relationship between the standard error of estimate and a criterion-related validity coefficient? The standard error of estimate is to validity what the standard error of measurement is to reliability, and the standard error of estimate is associated with criterion validity.
What will the standard error of measurement tell you about a test?
SEm is directly related to the reliability of a test; that is, the larger the SEm, the lower the reliability of the test and the less precision there is in the measures taken and scores obtained.