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Estimating standard errors of cut scores for item rating and mapmark procedures - A generalizability theory approach

机译：估计项目评级和地图标记程序的切割分数的标准误差-概化理论方法

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摘要

Standard-setting methods are widely used to determine cut scores on a test that examinees must meet for a certain performance standard. Because standard setting is a measurement procedure, it is important to evaluate variability of cut scores resulting from the standard-setting process. Generalizability theory is used in this study to estimate standard errors of cut scores resulting from two standard-setting methods: item rating (Angoff-based) and mapmark (bookmark-based) methods. In this study, two different generalizability (G) study designs and four different decision (D) study designs were examined, and the impact of varying different aspects of the study design and universes of generalization was examined. Results suggest that cut scores were generally consistent for both methods. The first round standard setting contributed the most to the overall variability for the mapmark method. Also, it is clear that there is no one standard error associated with a certain cut score.
机译：标准制定方法被广泛用于确定考生必须满足特定性能标准的考试的得分。由于标准设置是一项测量程序，因此评估由标准设置过程产生的切割分数的可变性很重要。本研究中使用概化理论来估计由两种标准设置方法得出的切割分数的标准误差：项目评级（基于Angoff的方法）和地图标记（基于书签的方法）。在这项研究中，检查了两个不同的概论（G）研究设计和四个不同的决策（D）研究设计，并研究了研究设计的不同方面和归纳的影响。结果表明，两种方法的得分均基本一致。第一轮标准设置对mapmark方法的整体变异性贡献最大。同样，很明显，没有一个与某一割分数相关的标准误差。

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