Cargando…
Diagnostic Classification Models for Ordinal Item Responses
The purpose of this study is to develop and evaluate two diagnostic classification models (DCMs) for scoring ordinal item data. We first applied the proposed models to an operational dataset and compared their performance to an epitome of current polytomous DCMs in which the ordered data structure i...
Autores principales: | Liu, Ren, Jiang, Zhehan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6297886/ https://www.ncbi.nlm.nih.gov/pubmed/30618941 http://dx.doi.org/10.3389/fpsyg.2018.02512 |
Ejemplares similares
-
Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation
por: Jiang, Zhehan, et al.
Publicado: (2018) -
Diagnostic Classification Models for a Mixture of Ordered and Non-ordered Response Options in Rating Scales
por: Liu, Ren, et al.
Publicado: (2022) -
Spatial Representation of Ordinal Information
por: Zhang, Meng, et al.
Publicado: (2016) -
Integrating a Statistical Topic Model and a Diagnostic Classification Model for Analyzing Items in a Mixed Format Assessment
por: Choi, Hye-Jeong, et al.
Publicado: (2021) -
Modeling Not-Reached Items in Cognitive Diagnostic Assessments
por: Liang, Lidan, et al.
Publicado: (2022)