Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| SIBTEST× | Pengujian Adaptif Berkomputer Diagnostik Kognitif× | Model DINA× | |
|---|---|---|---|
| Bidang | Psikometrik | Psikometrik | Psikometrik |
| Keluarga | Latent structure | Latent structure | Latent structure |
| Tahun asal≠ | 1993 | 2007 | 2001 |
| Pengasas≠ | Richard Shealy, William F. Stout | Xueli Xu, Jean-Paul Fox | Brian Junker, Klaas Sijtsma |
| Jenis≠ | Differential item functioning (DIF) assessment | Skill-adaptive testing with psychometric diagnostic classification | Discrete latent class model |
| Sumber perintis≠ | Shealy, R., & Stout, W. F. (1993). A model-based standardization approach that separates true bias/DIF from group differences and detects test bias/DTF. Psychometrika, 58(2), 159-194. DOI ↗ | 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 ↗ |
| Alias≠ | — | CD-CAT | DINA |
| Berkaitan≠ | 5 | 5 | 4 |
| Ringkasan≠ | SIBTEST (Simultaneous Item Bias Test) is a non-parametric method for detecting differential item functioning (DIF) and differential test functioning (DTF) developed by Shealy and Stout (1993). Unlike parametric approaches, SIBTEST does not assume a particular item response model and directly tests whether groups differ in their probability of correct responses at equal levels of overall ability. | 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. |
| ScholarGateSet data ↗ |
|
|
|