可靠性(半导体)
后验概率
度量(数据仓库)
计算机科学
统计
计量经济学
机器学习
数学
人工智能
数据挖掘
贝叶斯概率
量子力学
物理
功率(物理)
作者
Matthew Johnson,Sandip Sinharay
标识
DOI:10.3102/1076998619864550
摘要
One common score reported from diagnostic classification assessments is the vector of posterior means of the skill mastery indicators. As with any assessment, it is important to derive and report estimates of the reliability of the reported scores. After reviewing a reliability measure suggested by Templin and Bradshaw, this article suggests three new measures of reliability of the posterior means of skill mastery indicators and methods for estimating the measures when the number of items on the assessment and the number of skills being assessed render exact calculation computationally burdensome. The utility of the new measures is demonstrated using simulated and real data examples. Two of the suggested measures are recommended for future use.
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