文章基本信息

标题：The R Package CDM for Cognitive Diagnosis Models
本地全文：下载
作者：Ann Cathrice George ; Alexander Robitzsch ; Thomas Kiefer 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2016
卷号：74
期号：1
页码：1-24
语种：English
出版社：University of California, Los Angeles
摘要：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).
关键词：R;cognitive diagnosis modeling;general diagnostic model;structured latent class models;skill diagnosis