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Title
The R package CDM for cognitive diagnosis models
Authors GND-ID; GND-ID; ; GND-ID; GND-ID
SourceJournal of Statistical Software 74 (2016) 2, S. 1-24 ZDB
Document
License of the document Lizenz-Logo 
Keywords (German)Statistische Analyse; Statistische Methode; Computerprogramm; Datenanalyse; Diagnostik; Modell; Kognitive Leistung
sub-disciplineEmpirical Educational Research
Educational Psychology
Document typeArticle (journal)
ISSN1548-7660
LanguageEnglish
Year of creation
review statusPeer-Reviewed
Abstract (English):This paper introduces the R package CDM for cognitive diagnosis models (CDMs). The package implements parameter estimation procedures for two general CDM frameworks, the generalized-deterministic input noisy-and-gate (G-DINA) and the general diagnostic model (GDM). It contains additional functions for analyzing data under these frameworks, like tools for simulating and plotting data, or for evaluating global model and item fit. The paper describes the theoretical aspects of implemented CDM frameworks and it illustrates the usage of the package with empirical data of the common fraction subtraction test by Tatsuoka (1984).
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Date of publication28.02.2017
Suggested CitationGeorge, Ann Cathrice; Robitzsch, Alexander; Kiefer, Thomas; Groß, Jürgen; Ünlü, Ali: The R package CDM for cognitive diagnosis models - In: Journal of Statistical Software 74 (2016) 2, S. 1-24 - URN: urn:nbn:de:0111-pedocs-127017
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