Two-stage polytomous attribute estimation for cognitive diagnostic models: overcoming computational challenges in large-scale assessments with many polytomous attributes
Abstract Cognitive diagnosis models (CDMs) have been advocated as a useful tool in calibrating large-scale assessments, yet the computational challenges are inevitably amplified when the modeling complexity (e.g., the number and the levels of attributes) increases. This study presents a critical sce...
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| Main Authors: | Yuting Han, Feng Ji, Zhehan Jiang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-05-01
|
| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-04959-w |
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