Description Usage Details Notation Author(s) References Examples
Creates response data for a simplified version of the RUM model using the Simple 2 Attribute Q matrix
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#' @section 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.
| 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 |
| rStar | Item discrimination |
| kappa | Mastery threshold parameter |
Dave Rackham ddrackham@gmail.com
http://onlinelibrary.wiley.com/doi/10.1002/j.2333-8504.2008.tb02157.x/abstract
1 | data <- RUMSimpleQData()
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