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Using the score method to construct asymmetric confidence intervals: An SAS program for content validation in scale development

机译:使用评分方法构建不对称置信区间:用于规模开发中内容验证的SAS程序

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摘要

Expert review sessions are often conducted to determine the content validity of scale items. The accurate quantification of content validity is usually limited by a relatively small number of experts as well as by a small number of rating categories. These factors, combined with the bounded and discrete nature of rating scale categories, hinder use of traditional methods for computing standard errors and confidence intervals. Using an application of the score method, researchers can construct an asymmetric interval that is better suited for these situations. SAS code is provided to automate the computations, and a discussion of two methods for using the obtained results for content validation decisionmaking follows.
机译:经常进行专家评审会议,以确定量表项目的内容有效性。内容有效性的准确量化通常受限于相对较少的专家以及较少的评分类别。这些因素,加上等级量表类别的有限和离散性质,阻碍了使用传统方法来计算标准误和置信区间。使用计分方法的应用程序,研究人员可以构造一个更适合这些情况的不对称间隔。提供了SAS代码以使计算自动化,然后讨论了两种使用获得的结果进行内容验证决策的方法。

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