文章基本信息

标题：An Optimal Choice of Cognitive Diagnostic Model for Second Language Listening Comprehension Test
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作者：Dong, Yanyun ; Ma, Xiaomei ; Wang, Chuang 等
期刊名称：Frontiers in Psychology
电子版ISSN：1664-1078
出版年度：2021
卷号：12
页码：1137
DOI：10.3389/fpsyg.2021.608320
出版社：Frontiers Media
摘要：Cognitive diagnostic models (CDMs) show great promise in language assessment for providing rich diagnostic information. The lack of a full understanding of second language (L2) listening subskills made model selection difficult. In search of optimal CDM(s) that could provide a better understanding of L2 listening subskills and facilitate accurate classification, this study carried a two-layer model selection. At the test level, A-CDM, LLM, and R-RUM had acceptable and comparable model fit, suggesting mixed inter-attribute relationships of L2 listening subskills. At the item level, Mixed-CDMs were selected and confirmed the existence of mixed relationships. Mixed-CDMs had better model and person fit than G-DNIA. In addition to statistical approaches, content analysis provided theoretical evidence to confirm and amend the item-level CDMs. It was found that semantic completeness pertaining to the attributes and item features may influence the attribute relationships. Inexplicable attribute conflicts could be a signal of suboptimal model choice. Sample size and the number of multi-attribute items should be taken into account in L2 listening cognitive diagnostic modeling studies. This study provides useful insights into model selection and underlying cognitive process for L2 listening tests.
关键词：Cognitive diagnostic model; L2 listening subskills; Model selection; Mixed-CDMs; inter-attribute relationship