A GENERAL DIAGNOSTIC MODEL APPLIED TO LANGUAGE TESTING DATA-Reference-Cited by-同舟云学术

A GENERAL DIAGNOSTIC MODEL APPLIED TO LANGUAGE TESTING DATA

Published:2005-12 Issue:2 Volume:2005 Page:i-35
ISSN:2330-8516
Container-title:ETS Research Report Series
language:en
Short-container-title:ETS Research Report Series

Author:

von Davier Matthias¹

Affiliation:

1. ETS; Princeton NJ

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Applied Psychology,Education,Social Psychology

Reference22 articles.

1. Graphical models and computerized adaptive testing;Almond;Applied Psychological Measurement,1999

2. Some latent trait models;Birnbaum,1968

3. A coefficient of agreement for nominal scales;Cohen;Educational and Psychological Measurement,1960

4. von Davier , M. 2001 WINMIRA 2001: A software for estimating Rasch models, mixed and HYBRID Rasch models, and the latent class analysis [Computer software] http://www.assess.com/Software/WINMIRA.htm

5. von Davier , M. Yamamoto , K. 2004a A class of models for cognitive diagnosis

Cited by 153 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating The Performance of Item Selection Algorithms in Cognitive Diagnosis Computerized Adaptive Testing;Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi;2024-06-30

2. Exploration of polytomous-attribute Q-matrix validation in cognitive diagnostic assessment;Knowledge-Based Systems;2024-05

3. Explanatory Cognitive Diagnosis Models Incorporating Item Features;Journal of Intelligence;2024-03-11

4. International comparative study of learning trajectories based on TIMSS 2019 G4 data on cognitive diagnostic models;Frontiers in Psychology;2023-10-27

5. Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages , by Matthias von Davier, Young-Sun Lee, New York, United States, Springer, 2019, 656 pp., ISBN: 978-3-030-05583-7;Measurement: Interdisciplinary Research and Perspectives;2023-10-02