ScholarGate
Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Mfumo wa DINA×Cognitive Diagnostic Computerized Adaptive Testing×
NyanjaSaikometrikiSaikometriki
FamiliaLatent structureLatent structure
Mwaka wa asili20012007
MwanzilishiBrian Junker, Klaas SijtsmaXueli Xu, Jean-Paul Fox
AinaDiscrete latent class modelSkill-adaptive testing with psychometric diagnostic classification
Chanzo asiliaJunker, 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 ↗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 ↗
Majina mbadalaDINACD-CAT
Zinazohusiana45
MuhtasariThe 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.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.
ScholarGateSeti ya data
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: DINA Model · Cognitive Diagnostic Computerized Adaptive Testing. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare