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引用次数: 0
摘要
在人与人之间的测量模型(如项目反应理论(IRT))中,通常将人和任务变量分别解释为人和任务的属性。相反,它们可以被看作是社会认知复杂适应系统(CAS)中产生的人与情境之间互动模式的集合描述符。这种观点为解释和使用人与人之间的测量模型以及与社会认知研究的联系提供了启示。在本文中,我们利用一个基于代理的模型所产生的数据,来说明一个简单的基本 CAS 的 "社会 "和 "认知 "特征之间的关系,以及与所产生的数据相适应的 IRT 模型的变量之间的关系。我们指出了这些观点与解释性项目反应模型之间的联系,并简要评述了对分数解释和实际应用的影响。
Sociocognitive Processes and Item Response Models: A Didactic Example
The usual interpretation of the person and task variables in between-persons measurement models such as item response theory (IRT) is as attributes of persons and tasks, respectively. They can be viewed instead as ensemble descriptors of patterns of interactions among persons and situations that arise from sociocognitive complex adaptive system (CASs). This view offers insights for interpreting and using between-persons measurement models and connecting with sociocognitive research. In this article, we use data generated from an agent-based model to illustrate relations between “social” and “cognitive” features of a simple underlying CAS and the variables of an IRT model fit to resulting data. We note how the ideas connect to explanatory item response modeling and briefly comment on implications for score interpretations and uses in practice.
期刊介绍:
The Journal of Educational Measurement (JEM) publishes original measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. The topics addressed will interest those concerned with the practice of measurement in field settings, as well as be of interest to measurement theorists. In addition to presenting new contributions to measurement theory and practice, JEM also serves as a vehicle for improving educational measurement applications in a variety of settings.