details
Article (journal) accessible via
URN: urn:nbn:de:0111-pedocs-127017
DOI: 10.25656/01:12701; 10.18637/jss.v074.i02
URN: urn:nbn:de:0111-pedocs-127017
DOI: 10.25656/01:12701; 10.18637/jss.v074.i02
| Title |
The R package CDM for cognitive diagnosis models |
|---|---|
| Authors |
George, Ann Cathrice  ;
Robitzsch, Alexander  ;
Kiefer, Thomas;
Groß, Jürgen;
Ünlü, Ali |
| Source | Journal of Statistical Software 74 (2016) 2, S. 1-24  |
| Document | full text (721 KB) |
| License of the document |
|
| Keywords (German) | Statistische Analyse; Statistische Methode; Computerprogramm; Datenanalyse; Diagnostik; Modell; Kognitive Leistung |
| sub-discipline | Empirical Educational Research Educational Psychology |
| Document type | Article (journal) |
| ISSN | 1548-7660; 15487660 |
| Language | English |
| Year of creation | 2016 |
| review status | Peer-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). |
| Statistics |  Number of document requests
|
| Checksums | checksum comparison as proof of integrity |
| Date of publication | 28.02.2017 |
| Citation | George, 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 - DOI: 10.25656/01:12701; 10.18637/jss.v074.i02 |
share content at social platforms
Teile diese Seite:
