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首页> 外文期刊>Journal of applied measurement >Magnitude Estimation and Categorical Rating Scaling in Social Sciences: A Theoretical and Psychometric Controversy
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Magnitude Estimation and Categorical Rating Scaling in Social Sciences: A Theoretical and Psychometric Controversy

机译:社会科学中的幅度估计和分类等级定标:理论和心理计量学争议

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This paper revisits a half-century long theoretical controversy associated with the use of magnitude estimation scaling (MES) and category rating scaling (CRS) procedures in measurement. The MES procedure in this study involved instructing participants to write a number that matched their impression of difficulty of a test item. Participants were not restricted in the range of numbers they could choose for their scale. They also had the choice of disclosing their individual scale. After the MES task was completed, participants were given a blank copy of the test to rate the perceived difficulty of each item using a researcher-imposed categorical rating scale from 1 (very easy) to 6 (very difficult). The MES and CRS data were both analyzed using Rasch Rating scale model. Additionally, the MES data were examined with Rasch Partial Credit model. Results indicate that knowing each person's scale is associated with smaller errors of measurement.
机译:本文回顾了与测量中使用幅度估计标度(MES)和类别等级标度(CRS)程序相关的长达半个世纪的理论争议。这项研究中的MES程序包括指导参与者写出与他们对测试项目的难度印象相匹配的数字。参加者的人数范围不受限制。他们还可以选择公开自己的个人规模。在完成MES任务后,使用研究人员施加的分类评分等级从1(非常容易)到6(非常困难)为参与者提供测试的空白副本,以评估每个项目的感知难度。 MES和CRS数据均使用Rasch Rating规模模型进行了分析。此外,使用Rasch Partial Credit模型检查了MES数据。结果表明,了解每个人的体重秤与较小的测量误差相关。

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