The R Package CDM for Cognitive Diagnosis Models

Autor:	Ann Cathrice George, Alexander Robitzsch, Thomas Kiefer, Jürgen Groß, Ali Ünlü
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	cognitive diagnosis modeling general diagnostic model structured latent class models skill diagnosis Statistics HA1-4737
Zdroj:	Journal of Statistical Software, Vol 74, Iss 1, Pp 1-24 (2016)
Druh dokumentu:	article
ISSN:	1548-7660 17547288
DOI:	10.18637/jss.v074.i02
Popis:	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).
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e9a443dcd17547288fab623bbfa93713 Zobrazit plný text záznamu View record in DOAJ