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

by Matthias von Davier (editor)

1. From Latent Class Analysis to DINA and Beyond; Matthias von Davier and Young-Sun Lee.- 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; Andries van der Ark, Gina Rossi, and Klaas Sijtsma.- 3. The Reparameterized Unified Model A Diagnostic Assessment Modeling Approach; William F. Stout, Robert Henson, Lou DiBello, and Benjamin Shear.- 4. Bayesian Networks; Russell Almond and Diego Zapata.- 5. Nonparametric Classification Models; Chia-Yi Chiu and Hans-Friedrich Kohn.- 6. General Diagnostic Model (GDM); Matthias von Davier.- 7. Generalized Deterministic Inputs, Noisy "and" Gate Model (G-DINA); Jimmy de la Torre and Nathan Minchen.- 8. Loglinear Cognitive Diagnostic Model (LCDM); Robert Henson and Jonathan Templin.- 9. Diagnostic Modeling of Skill Hierarchies and Cognitive Process with MLTM-D; Susan Embretson.- 10. Explanatory Diagnostic Models; Yoon Soo Park and Young-Sun Lee.- 11. Insights from Reparametrized DINA and Beyond; Lawrence T. DeCarlo.- PART 2: Special Topics.- 12. Q Matrix Learning via Latent Variable Selection and Identifiability; Jingchen Liu and Hyeon-Ah Kang.- 13. Global Model and Item-level Fit Indices; Zhaungzhuang Han and Matthew Johnson.- 14. Exploratory Data Analysis and Cognitive Diagnostic Model; Yunxiao Chen and Xiaoou Li.- 15. CDM-CAT; Xiaofeng Yu, Ying Cheng, and Hua Hua Chang.- 16. Identifiability and Cognitive Diagnostic Model; Gongjun Xu.- 17. Classification Consistency and Reliability; Sandip Sinharay and Matthew Johnson.- 18. Differential Item Functioning in CDM; Xuelan Qiu, Xiaomin Li, and Wen-Chung Wang.- 19. Parameter Invariance and Skill Attribute Continuity in Bifactor MIRT as an Appealing and Related Alternative; Daniel Bolt.- PART 3: Applications.- 20. Application of CDMs to Process Data Analysis; Hong Jiao, Dandan Liao, and Peida Zhan.- 21. Application of CDMs to Learning Systems; Benjamin Deonovic, Pravin Chopade, Michael Yudelson, Jimmy de la Torre, Alina von Davier.- 22. CDMs in Vocational Education; Stephan Abele and Matthias von Davier.- 23. Analyzing Large Scale Assessment Data with Diagnostic Models ; Xueli Xu and Matthias von Davier.- 24. Reduced Reparameterized Unified Model Applied to Learning Spatial Reasoning Skills; Susu Zhang, Jeff Douglas, Shiyu Wang, and Steve Culpepper.- 25. How to Conduct a Study with Diagnostic Models ; Young-Sun Lee and Diego Luna Bazaldua.- PART 4: Software, Data, and Tools.- 26. The R package CDM for Diagnostic Modeling; Alexander Robitzsch and Ann Cathrice George.- 27. Diagnostic Classification Modeling with flexMIRT; Li Cai and Carrie Houts.- 28. Using Mplus to Estimate the Log-Linear Cognitive Diagnosis Model; Meghan Sullivan, Jesse Pace, and Jonathan Templin.- 29. The GDINA R-package; Wenchao Ma.- 30. GDM software mdltm including Parallel EM algorithm; Lale Khorramdel, Hyo Jeong Shin, and Matthias von Davier.- 31. Estimating CDMs using MCMC; Xiang Liu and Matthew Johnson.

672 pages, Paperback

Published October 16, 2019