4/19/2023 0 Comments Hierarchical sequential testingThe performances of those indices were evaluated via Monte Carlo simulation studies and a real data illustration.Ĭognitive diagnostic assessment (CDA) has gained widespread use since its introduction, as it can provide fine-grained feedback through pinpointing the presence or absence of multiple fine-grained skills or attributes ( Leighton and Gierl, 2007 Templin and Bradshaw, 2013) based on some cognitive diagnostic models (CDMs). Two misfit sources were focused that is, misspecifying attribute structures and misfitting processing functions. Furthermore, model fit analysis for SH-CDMs is assessed using eight model fit indices (i.e., three absolute fit indices and five relative fit indices). This article introduces the sequential hierarchical CDM (SH-CDM), which adapts the sequential CDM to deal with attribute hierarchy. The presence of attribute hierarchies, which can provide useful information about the nature of attributes, will help understand the relation between attributes and response categories. Under the cognitive diagnostic assessment (CDA) framework, a family of sequential cognitive diagnostic models (CDMs) is introduced to handle polytomously scored data, which are attained by answering constructed-response items sequentially. Model data fit plays an important role in any statistical analysis, and the primary goal is to detect the preferred model based on certain criteria. 2School of Mathematics and Statistics, Northeast Normal University, Changchun, China.1China Institute of Rural Education Development, Northeast Normal University, Changchun, China.
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