目前看了340篇論文,扣除與臨床不相關/comments/一般Rasch, IRT或效度驗證的論文,共分類了90篇。分類情況如下:
A. Purpose/Function of IRT/Rasch analysis: 45篇
1. improve reliability/precision/discrimination: 9篇
2. select/reduce items: 8篇
3. develop functional stages/health states: 8篇
4. clarify/confirm structure: 5篇
5. create interval scale: 2篇
6. cross calibration/co-calibration: 2篇
7. evaluate equivalency between response systems: 2篇
8. group comparison: 2篇
9. derive an composite score: 1篇
10. evaluate crosscultural measurement equivalence: 1篇
11. evaluate temporal stability of structure: 1篇
12. link outcomes: 1篇
13. scale consolidation: 1篇
14. treatment planning: 1篇
15. analyze relationship: 1篇
B. Rasch/IRT validation-interesting issues/topics(Rasch/IRT驗證論文中,包含有趣或值得探討的議題): 11篇
1. DIF: 2篇
2. rating scale design: 2篇
3. comparison between measures: 1篇
4. computerized cognitive test: 1篇
5. model fitting criteria: 1篇
6. '3- step IRT strategy': 1篇
7. measurement invariance analyses: 1篇
8. model choice: 1篇
9. small sample size: 1篇
C. Rasch/IRT concepts(論文中提及Rasch/IRT概念,值得精讀):7篇
1. cognition tests: 1篇
2. DIF: 1篇
3. macro & micro analysis: 1篇
4. PROMIS Item Bank Development and Testing Methodology: 1篇
5. psychiatry: 1篇
6. software: 1篇
7. systematic review: 1篇
D. CAT (CAT論文中有關methodology): 4篇
1. clarify test structure: 1篇
2. content balance: 1篇
3. compare precision (CAT vs. short form): 1篇
4. improve precision & efficiency: 1篇
E. Mokken analysis (non-parametric IRT analysis, 分開探討): 4篇
1. concept: 1篇
2. validation: 3篇
F. Other models (較不常見或不熟悉的Rasch/IRT models): 14篇
1. multi/many-facet Rasch model: 8篇
2. mixed Rasch model: 1篇
3. Thurstonian IRT model: 1篇
4. explanatory item response model: 1篇
5. logistic item response model : 1篇
6. longitudinal IRT model : 1篇
7. unfolding item response theory model: 1篇
G. Unfiled(不確定,尚未分類的論文): 6篇
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