用于多单元评估结构的可选属性映射

IF 1.5 4区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Bo Wang , Jinjin Li , Bochi Xu , Wen Sun , Yingru Lin
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引用次数: 0

摘要

本文介绍了一种属性映射,它提供了一种建模多自治项目响应关系的替代方法。这个新的属性映射基于这样一个原则,即每个可用属性都可以独立地使一个项目达到特定的可观察响应级别。本文严格定义了该属性映射,并建立了相应的项响应函数。使用这两个映射,构建了一个连贯的属性结构,从而形成了一个基于能力的多同构评估结构。最后,给出了一个简单的数学例子来说明该理论框架的有效性和实际适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An alternative attribute map for polytomous assessment structures
The present paper introduces an attribute map that offers an alternative approach to modeling polytomous item–response relationships. This new attribute map is based on the principle that each available attribute can independently enable an item to reach a specific observable response level. The paper rigorously defines this attribute map and establishes the corresponding item–response function. Using these two maps, a coherent attribute structure is constructed, leading to a competence-based polytomous assessment structure. Finally, a straightforward mathematical example is provided to illustrate the validity and practical applicability of this theoretical framework.
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来源期刊
Journal of Mathematical Psychology
Journal of Mathematical Psychology 医学-数学跨学科应用
CiteScore
3.70
自引率
11.10%
发文量
37
审稿时长
20.2 weeks
期刊介绍: The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology. Empirical and theoretical contributions are equally welcome. Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts. A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation. The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology. Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory
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