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Item-Score Reliability as a Selection Tool in Test Construction

机译:项目得分可靠性作为测试构建中的选择工具

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摘要

This study investigates the usefulness of item-score reliability as a criterion for item selection in test construction. Methods MS, λ6, and CA were investigated as item-assessment methods in item selection and compared to the corrected item-total correlation, which was used as a benchmark. An ideal ordering to add items to the test (bottom-up procedure) or omit items from the test (top-down procedure) was defined based on the population test-score reliability. The orderings the four item-assessment methods produced in samples were compared to the ideal ordering, and the degree of resemblance was expressed by means of Kendall's τ. To investigate the concordance of the orderings across 1,000 replicated samples, Kendall's W was computed for each item-assessment method. The results showed that for both the bottom-up and the top-down procedures, item-assessment method CA and the corrected item-total correlation most closely resembled the ideal ordering. Generally, all item assessment methods resembled the ideal ordering better, and concordance of the orderings was greater, for larger sample sizes, and greater variance of the item discrimination parameters.
机译:这项研究调查了项目得分可靠性作为测试构建中项目选择标准的有用性。方法MS,λ6和CA作为项目选择中的项目评估方法进行了研究,并与校正后的项目总相关性进行了比较,以此作为基准。根据总体测试得分的可靠性,定义了一种理想的排序方式,即向测试中添加项目(自下而上的过程)或从测试中省略项目(自上而下的过程)。将样本中产生的四种项目评估方法的排序与理想排序进行比较,并通过肯德尔(Kendall)τ表示相似程度。为了研究1000个重复样本中顺序的一致性,针对每种项目评估方法计算了Kendall的W。结果表明,对于自下而上和自上而下的过程,项目评估方法CA和更正后的项目总体相关性与理想排序最为相似。通常,对于更大的样本量和更大的项目判别参数,所有项目评估方法都更好地类似于理想的排序,并且排序的一致性更大。

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