Classical True-Score Theory
Learning from classical theories and discoveries will always benefit us, finding something hidden, ignoring idea, and preventing repeating mistakes."Classical true-score theory involves an additive model. An observed test score X is the sum of two components: a stable true score T and a random error score E ..."
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"Classical true-score theory involves an additive model. An observed test score X is the sum of two components: a stable true score T and a random error score E. Error scores on a test are assumed to be uncorrelated with true scores on that test and with true and error scores on all other tests. Parallel tests have the same true scores and error variances. Essentially tau-equivanlent tests have true scores that differ by an additive constant. The assumptions for classical true-score theory can be violated by a number of conditions that affect test scores. However, because we usually cannot determine T and E, we cannot directly verify the appropriateness of the assumptions, and we can only surmise when they would be appropriate."
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