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Cognitive diagnostic modeling using R. / Ravand, Hamdollah; Robitzsch, Alexander.

In: Practical Assessment, Research & Evaluation, Vol. 20, No. 11, 2015, p. 1-12.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Ravand, H & Robitzsch, A 2015, 'Cognitive diagnostic modeling using R', Practical Assessment, Research & Evaluation, vol. 20, no. 11, pp. 1-12. <http://pareonline.net/getvn.asp?v=20&n=11>

APA

Ravand, H., & Robitzsch, A. (2015). Cognitive diagnostic modeling using R. Practical Assessment, Research & Evaluation, 20(11), 1-12. http://pareonline.net/getvn.asp?v=20&n=11

Vancouver

Ravand H, Robitzsch A. Cognitive diagnostic modeling using R. Practical Assessment, Research & Evaluation. 2015;20(11):1-12.

Author

Ravand, Hamdollah ; Robitzsch, Alexander. / Cognitive diagnostic modeling using R. In: Practical Assessment, Research & Evaluation. 2015 ; Vol. 20, No. 11. pp. 1-12.

BibTeX

@article{97dc0d910f9042dabaec574d376db79e,
title = "Cognitive diagnostic modeling using R",
abstract = "Cognitive diagnostic models (CDM) have been around for more than a decade but their application is far from widespread for mainly two reasons: (1) CDMs are novel, as compared to traditional IRT models. Consequently, many researchers lack familiarity with them and their properties, and (2) Software programs doing CDMs have been expensive and not readily available. The present paper presents a reader-friendly introduction to the CDMs and uses the CDM package (Robitzsch, Kiefer, Cathrice George, & Uenlue, 2014) in R to demonstrate the application of the generalized deterministic-input, noisy-and-gate model (G-DINA; de la Torre, 2011) and interpret the output. R is a free open source tool which can be utilized to conduct a range of CDMs which otherwise would need separate software programs to run each.",
author = "Hamdollah Ravand and Alexander Robitzsch",
year = "2015",
language = "English",
volume = "20",
pages = "1--12",
journal = "Practical Assessment, Research & Evaluation",
issn = "1531-7714",
publisher = "PAREOnline",
number = "11",

}

RIS

TY - JOUR

T1 - Cognitive diagnostic modeling using R

AU - Ravand, Hamdollah

AU - Robitzsch, Alexander

PY - 2015

Y1 - 2015

N2 - Cognitive diagnostic models (CDM) have been around for more than a decade but their application is far from widespread for mainly two reasons: (1) CDMs are novel, as compared to traditional IRT models. Consequently, many researchers lack familiarity with them and their properties, and (2) Software programs doing CDMs have been expensive and not readily available. The present paper presents a reader-friendly introduction to the CDMs and uses the CDM package (Robitzsch, Kiefer, Cathrice George, & Uenlue, 2014) in R to demonstrate the application of the generalized deterministic-input, noisy-and-gate model (G-DINA; de la Torre, 2011) and interpret the output. R is a free open source tool which can be utilized to conduct a range of CDMs which otherwise would need separate software programs to run each.

AB - Cognitive diagnostic models (CDM) have been around for more than a decade but their application is far from widespread for mainly two reasons: (1) CDMs are novel, as compared to traditional IRT models. Consequently, many researchers lack familiarity with them and their properties, and (2) Software programs doing CDMs have been expensive and not readily available. The present paper presents a reader-friendly introduction to the CDMs and uses the CDM package (Robitzsch, Kiefer, Cathrice George, & Uenlue, 2014) in R to demonstrate the application of the generalized deterministic-input, noisy-and-gate model (G-DINA; de la Torre, 2011) and interpret the output. R is a free open source tool which can be utilized to conduct a range of CDMs which otherwise would need separate software programs to run each.

M3 - Journal article

VL - 20

SP - 1

EP - 12

JO - Practical Assessment, Research & Evaluation

JF - Practical Assessment, Research & Evaluation

SN - 1531-7714

IS - 11

ER -

ID: 624569