RUMhartzRoussosData: RUM Hartz Roussos (2008) Data simulation

In drackham/dcmdata: Diagnostic Classification Model Data Simulations

Description

Simulates the Hartz Roussos data from "The Fusion Model for Skills Diagnosis: Blending Theory with Practicality" (2008)

Usage

RUMhartzRoussosData()

Important notes

As of 5-20-2016 I am unsure if the data simulation algorithm is accurate or effective. I abandoned this model in favor for the R-DINA.

Notation

JJ	Number of examinees
II	Number of items
KK	Number of skills
j	Examinee j
i	Item i
k	Skill k
alphaK	Skill mastery population proportion vector
alphaJK	Examinee skill mastery profile
x	response matrix
pi	Probability that an examinee having mastered all the Q required skills for item i will correctly apply all the skills when solving item i
iParamsLow	Matrix of item parameters for ideal low complexity model
r	Item discrimination
c	Item difficulty
eta	Latent ability NOT included in the q-matrix

Author(s)

Dave Rackham [e-mail]

References

http://onlinelibrary.wiley.com/doi/10.1002/j.2333-8504.2008.tb02157.x/abstract

Examples

data <- RUMhartzRoussosData()

drackham/dcmdata documentation built on May 15, 2019, 1:52 p.m.