Abstract
Abstract Conventional ANOVA procedures for estimating intraclass reliability of a test consisting of a series of repeated trials yield overly-biased estimates of the reliability coefficient when errors in the responses are autocorrelated. The direction and amount of bias depend on the type and magnitude of error autocorrelation present in the trial responses, as well as the relative size of true variance to error variance. Examples of these biases are presented by considering specific alternatives to the classical test theory model, namely two first-order time series models.
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