mirt : A Multidimensional Item Response Theory Package for the R Environment
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Abstract
Item response theory (IRT) is widely used in assessment and evaluation research to explain how participants respond to item level stimuli. Several R packages can be used to estimate the parameters in various IRT models, the most flexible being the ltm (Rizopoulos 2006), eRm (Mair and Hatzinger 2007), and MCMCpack (Martin, Quinn, and Park 2011) packages. However these packages have limitations in that ltm and eRm can only analyze unidimensional IRT models effectively and the exploratory multidimensional extensions available in MCMCpack requires prior understanding of Bayesian estimation convergence diagnostics and are computationally intensive. Most importantly, multidimensional confirmatory item factor…
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Topics
Keywords
- Item response theory
- Confirmatory factor analysis
- Computer science
- R package
- Bayesian probability
- Econometrics
- Exploratory research
- Statistics
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