{"title":"Sociocognitive Processes and Item Response Models: A Didactic Example","authors":"Tao Gong, Lan Shuai, Robert J. Mislevy","doi":"10.1111/jedm.12376","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":47871,"journal":{"name":"Journal of Educational Measurement","volume":"61 1","pages":"150-173"},"PeriodicalIF":1.4000,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Educational Measurement","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jedm.12376","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
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.