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Nominal Weights Mean Equating: A Method for Very Small Samples

机译：标称权重均值均等：非常小的样本的一种方法

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摘要

The authors introduced nominal weights mean equating, a simplified version of Tucker equating, as an alternative for dealing with very small samples. The authors then conducted three simulation studies to compare nominal weights mean equating to six other equating methods under the nonequivalent groups anchor test design with sample sizes of 20, 50, and 80 examinees. Results showed that nominal weights mean equating was generally the most effective. Nominal weights mean equating was, furthermore, never among the least effective methods in any condition, indicating its utility across a wide variety of contexts. Circle-arc equating, another recently developed method, also showed a great deal of promise. The identity function (i.e., no equating) was adequate only when test forms were nearly equivalent in difficulty.
机译：作者介绍了名义权重平均数（Tucker等值的简化版本）作为处理非常小的样本的替代方法。然后，作者进行了三项模拟研究，以比较在等价组锚定测试设计下样本量分别为20、50和80的考生的名义重量均值与其他六种等效方法的比较。结果表明，名义权重均值通常最有效。此外，名义权重均值在任何情况下都不是最不有效的方法之一，表明其在多种情况下的效用。另一种新近开发的方法，圆弧等值也显示了很大的希望。仅当测试表格的难度几乎相等时，身份函数（即，不相等）才足够。

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