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Expected Values for Category-To-Measure and Measure-To-Category Statistics: A Simulation Study

机译:类别到衡量和测量到类别统计数据的预期值:模拟研究

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摘要

There are many sources of evidence for a well-functioning rating-scale. Two of these sources are analyses of measure-to-category and category-to-measure statistics. An absolute cut-value of 40% for these statistics has been suggested. However, no evidence exists in the literature that this value is appropriate. Thus, this paper discusses the results of simulation studies that examined the expected values in different contexts. The study concludes that a static cut-value of 40% should be replaced with expected values for measure-to-category and category-to-measure analyses.
机译:有许多有效的证据来源级别级别。这些来源中的两个是对类别和类别的统计数据的分析。已经提出了这些统计数据的绝对削减值为40%。但是,文献中没有证据表明,该价值是合适的。因此,本文讨论了仿真研究的结果,其在不同背景下检查了预期值。该研究的结论是,40%的静态减小值应替换为衡量标准的预期值和类别措施分析。

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