Methodological analysis reveals performance differences among linear equating methods under imperfect anchor correlations, suggesting practical rules for standardized test scoring.
Three linear equating methods for the common-item nonequivalent-populations design are compared using an analytical method. The analysis investigated the be havior of the three methods when the true-score corre lation between the test and anchor was less than unity, a situation that may occur in practice. The analysis is graphically illustrated using data from a test equating situation. Conclusions derived from the analysis have implications for the practical application of these equating methods.
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David J. Woodruff (1989) studied this question.
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