Chapter 10 Reference & Other Good Stuff
10.1 Rasch Glossary
10.1.1 Rasch Models
Abbreviation | Description | Citation |
---|---|---|
DRM | Dichotomous Rasch Model | Rasch(1960/1980) |
RSM | Rating Scale Model | Andrich (1978) |
MFRM | Many-facet Rasch Model | NA |
PCM | Partial Credit Model | Master(1982) |
10.1.2 Diagnostic and Exploratory Rasch Figures
Abbreviation | Description |
---|---|
ICC | Item Characteristic Curve |
IIC | Item Information Function |
IRF | Item Response Function |
TCC | Test Characteristic Curve |
10.1.3 Estimation methods and Estimates
Abbreviation | Description |
---|---|
AML(E) | Anchored Maximum Likelihood (Estimation) |
CML(E) | Conditional Maximum Likelihood (Estimation) |
EAP | Expected A Posterior (Estimate) |
JML(E) | Joint Maximum Likelihood (Estimation) |
UCON(E) | Unconditional Maximum Likelihood (Estimation) |
MML(E) | Marginal Maximum Likelihood (Estimation) |
WLE | Weighted Likelihood Estimate |
Note*: JMLE “Joint Maximum Likelihood Estimation” is also called UCON, “Unconditional maximum likelihood estimation”. It was devised by Wright & Panchapakesan.
10.1.4 Popular R-Packages for running Rasch Model
1, “eRm”(Extended Rasch Modeling) R Package
#4: citation
Mair, P., & Hatzinger, R. (2007). Extended Rasch modeling: The eRm package for the application of IRT models in R. Journal of Statistical Software, 20(9), 1-20. http://www.jstatsoft.org/v20/i09
2, “TAM”(Test Analysis Modules) R package
#4: citation
Robitzsch, A., Kiefer, T., & Wu, M. (2020). TAM: Test Analysis Modules. R package version 3.5-19. https://CRAN.R-project.org/package=TAM
3, WrightMap packages (Best for plotting WrightMaps)
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Check the Tutorials on the site to learn all the neat tricks!
#3: Commonly used functions
Torres Irribarra, D. & Freund, R. (2014). Wright Map: IRT item-person map with ConQuest integration. Available at http://github.com/david-ti/wrightmap
10.2 Rasch friendly Jounrals
These Journals have published papers relating to Rasch analysis and Rasch measurement. They are believed to be willing to publish more.