认知
认知模型
计算机科学
感知
样品(材料)
人工智能
线性模型
机器学习
多级模型
估计
决策论
决策模型
多种型号
广义线性模型
类型(生物学)
计量经济学
认知心理学
数学
统计模型
样本量测定
信号(编程语言)
心理学
项目反应理论
大样本
分层数据库模型
数学模型
估计理论
探测理论
计算模型
摘要
A model for multiple-choice (MC) items based on signal detection theory (SDT), the MC-SDT model (DeCarlo, 2021a), follows from assumptions about perceptual and decision processes involved when examinees choose alternatives for MC items. The model can be expressed as a hierarchical model with an 'item-level', Level 1, and an 'examinee-level', Level 2. Here it is shown that cognitive diagnosis models (CDMs) can also be viewed as consisting of two levels, with the MC-SDT model serving as the first-level model, whereas the second-level model determines the type of CDM. Thus, the theory about how examinees make choices for MC items is unified across different CDMs. The resulting MC-SDT-CDM models are shown to be parsimonious sub-models of MC-CDMs. The models have straightforward interpretations (MC-SDT at Level 1), avoid estimation problems, and are useful for small sample sizes. The models are illustrated with an application to MC items from the TIMSS 2007 4th grade exam.
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