So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Phân tích độ tin cậy của Bài kiểm tra Thích ứng bằng Máy tính× | Kiểm tra Thích ứng bằng Máy tính dựa trên Lý thuyết Ứng đáp Mục (CAT-IRT)× | |
|---|---|---|
| Lĩnh vực | Trắc lượng tâm lý | Trắc lượng tâm lý |
| Họ | Latent structure | Latent structure |
| Năm ra đời | 1970s–1980s | 1970s–1980s |
| Người khởi xướng≠ | David J. Weiss and IRT psychometricians | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| Loại≠ | Reliability estimation under adaptive testing | Adaptive measurement / sequential testing |
| Công trình gốc≠ | Weiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375. DOI ↗ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| Tên gọi khác | CAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CAT | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| Liên quan | 4 | 4 |
| Tóm tắt≠ | CAT reliability analysis quantifies measurement precision in computerized adaptive tests where each examinee receives a unique, individually tailored subset of items. Rather than a single classical coefficient, it uses item response theory to express precision as conditional standard error of measurement at each ability level, and marginal reliability as a global summary across the ability distribution. | Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys. |
| ScholarGateBộ dữ liệu ↗ |
|
|