方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 认知诊断计算机化自适应测试× | DINA模型× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 2007 | 2001 |
| 提出者≠ | Xueli Xu, Jean-Paul Fox | Brian Junker, Klaas Sijtsma |
| 类型≠ | Skill-adaptive testing with psychometric diagnostic classification | Discrete latent class model |
| 开创性文献≠ | Choi, K. M., Lee, Y. S., & Park, Y. S. (2015). What CDM can tell about examinees' strengths and weaknesses: Cognitive diagnostic information in TIMSS. Journal of Educational Evaluation for Policy Analysis, 24(1), 79-100. link ↗ | Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272. DOI ↗ |
| 别名 | CD-CAT | DINA |
| 相关≠ | 5 | 4 |
| 摘要≠ | Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) combines computerized adaptive testing (CAT) with cognitive diagnostic models (CDMs) to efficiently assess students' specific skill profiles. Rather than producing a single overall ability score, CD-CAT adaptively selects items to quickly identify which skills a student has mastered and which need development. | The DINA Model (Deterministic Inputs, Noisy Outputs) is a cognitive diagnostic model developed by Junker and Sijtsma (2001) that classifies examinees into latent skill classes based on their item response patterns. DINA assumes a deterministic relationship between skill mastery and correct responses, with probabilistic error accounting for guessing and slips. |
| ScholarGate数据集 ↗ |
|
|