Handbook of Diagnostic Classification Models Models and Model Extensions, Applications, Software Packages /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: von Davier, Matthias (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lee, Young-Sun (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Methodology of Educational Measurement and Assessment,
• Θέματα: Assessment.; Psychometrics.; Statistics .; Cognitive psychology.; Assessment, Testing and Evaluation.; Statistics for Social Sciences, Humanities, Law.; Cognitive Psychology.

This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed f...

Πίνακας περιεχομένων:

• 1. Introduction: From Latent Class Analysis to DINA and Beyond
• PART 1: Approaches to Cognitive Diagnosis
• 2. Nonparametric Item Response Theory and Mokken Scale Analysis, with Relations to Latent Class Models and Cognitive Diagnostic Models
• 3. The Reparameterized Unified Model System: A Diagnostic Assessment Modeling Approach
• 4.Bayesian Networks
• 5. Nonparametric Classification Models
• 6. General Diagnostic Model (GDM)
• 7. Generalized Deterministic Inputs, Noisy "and" Gate Model (G-DINA)
• 8. Loglinear Cognitive Diagnostic Model (LCDM)
• 9. Diagnostic Modeling of Skill Hierarchies and Cognitive Process with MLTM-D
• 10. Explanatory Diagnostic Models
• 11. Insights from Reparametrized DINA and Beyond
• PART 2: Special Topics
• 12. Q Matrix Learning via Latent Variable Selection and Identifiability
• 13. Global Model and Item-level Fit Indices
• 14.Exploratory Data Analysis and Cognitive Diagnostic Model
• 15. CDM-CAT
• 16. Identifiability and Cognitive Diagnostic Model
• 17. Classification Consistency and Reliability
• 18.Differential Item Functioning in CDM
• 19. Parameter Invariance and Skill Attribute Continuity in DCMs: Bifactor MIRT as an Appealing and Related Alternative
• PART 3: Applications
• 20.Application of CDMs to Process Data Analysis
• 21. Application of CDMs to Learning Systems
• 22. CDMs in Vocational Education
• 23. Analyzing Large Scale Assessment Data with Diagnostic Models
• 24. Reduced Reparameterized Unified Model Applied to Learning Spatial Reasoning Skills
• 25. How to Conduct a Study with Diagnostic Models
• PART 4: Software, Data, and Tools
• 26. The R package CDM for Diagnostic Modeling
• 27. Diagnostic Classification Modeling with flexMIRT
• 28. Using Mplus to Estimate the Log-Linear Cognitive Diagnosis Model
• 29. The GDINA R-package
• 30. GDM software mdltm including Parallel EM algorithm.-31. Estimating CDMs using MCMC.