ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Metodoloģija "Noteikumu telpa"×Kognitīvā diagnostiskā datorizētā adaptīvā testēšana×Modelis DINO×
NozarePsihometrijaPsihometrijaPsihometrija
SaimeLatent structureLatent structureLatent structure
Izcelsmes gads198320072006
AutorsKikumi K. TatsuokaXueli Xu, Jean-Paul FoxJames Templin, Russell Henson
TipsIRT-based diagnostic classificationSkill-adaptive testing with psychometric diagnostic classificationDisjunctive latent class model
PirmavotsHartz, S. M. (2002). A Bayesian framework for the unified treatment of assessing dimensionality, assessing local dependence, and estimating ability for unidimensional and multidimensional item response data. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign. link ↗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 ↗Templin, J., & Henson, R. A. (2006). Measurement of psychological disorders using cognitive diagnosis models. Psychological Methods, 11(3), 287-305. DOI ↗
Citi nosaukumiRSMCD-CATDINO
Saistītās554
KopsavilkumsRule Space Methodology (RSM) is a diagnostic classification approach developed by Tatsuoka (1983) that uses Item Response Theory and geometric methods to classify examinees into knowledge states based on their response patterns. Unlike classical scoring, RSM identifies which specific skills or competencies an examinee possesses or lacks, enabling targeted educational interventions.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 DINO Model (Deterministic Inputs, Noisy Outputs—Disjunctive) is a cognitive diagnostic model that relaxes DINA's conjunctive (AND) skill requirement logic. DINO assumes an examinee only needs to master one of multiple possible skill pathways to answer an item correctly, making it suitable for scenarios where skills are substitutable or alternative routes to success exist.
ScholarGateDatu kopa
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Rule Space Methodology · Cognitive Diagnostic Computerized Adaptive Testing · DINO Model. Izgūts 2026-06-20 no https://scholargate.app/lv/compare