A modular approach for item response theory modeling with the r package flirt
The new R package flirt is introduced for flexible item response theory IRT modeling of psychological, educational, and behavior assessment data. The graphical model framework allows for efficient maximum likelihood estimation. The key feature of flirt is its modular approach to facilitate convenient and flexible model specifications. Researchers can construct customized IRT models by simply selecting various modeling modules, such as parametric forms, of dimensions, item and person covariates, person groups, link functions, etc.
In this paper, we describe major features of flirt and provide examples to illustrate how flirt works in practice. Please enable it to take advantage of the complete set of features! Clipboard, Search History, and several other advanced features are temporarily unavailable. Search: Search.
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Flirting in the #metoo era: a comedy show
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How to fail at flirting by denise williams
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Be a flirt
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Abstract The new R package flirt is introduced for flexible item response theory IRT modeling of psychological, educational, and behavior assessment data. Similar articles A generalized item response tree model for psychological assessments. Jeon M, De Boeck P. Jeon M, et al. Behav Res Methods. PMID: Formulating latent growth using an explanatory item response model approach. Wilson M, et al. J Appl Meas. Rockwood NJ, Jeon M. Rockwood NJ, et al.
Multivariate Behav Res. Epub Apr Response style analysis with threshold and multi-process IRT models: A review and tutorial. Br J Math Stat Psychol.
How to flirt
PMID: Review. The value of item response theory in clinical assessment: a review. Thomas ML. Epub Jul See all similar articles. Park M, Wu AD. Park M, et al. Educ Psychol Meas. Epub Feb MeSH terms Algorithms Actions.
How to flirt
Behavior Actions. Educational Measurement Actions. Humans Actions. Likelihood Functions Actions. Linear Models Actions.
Matchmakers and dating coaches hold "get your flirt on," a flirting skills class for women
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