'shiny' Applications for Statistical and Psychometric Analysis
Testing measurement & structural models for dichotomous and polytomous...
Run exploratory factor analysis for dichotomous and polytomous data
Run exploratory factor analysis for dichotomous and polytomous data
Item calibration according to item response theory models
Item and test statistics based on classical test theory,
Run principal component analysis for dichotomous and polytomous data
Generate simulated data according to IRT for dichotomous and polytomou...
Toolbox with 'shiny' applications for widely used psychometric methods. Those methods include following analysis: Item analysis, item response theory calibration, principal component analysis, confirmatory factor analysis - structural equation modeling, generating simulated data. References: Chalmers (2012, <doi:10.18637/jss.v048.i06>); Revelle (2022, <https://CRAN.R-project.org/package=psych Version = 2.2.9.>); Rosseel (2012, <doi:10.18637/jss.v048.i02>); Magis & Raiche (2012, <doi:10.18637/jss.v048.i08>); Magis & Barrada (2017, <doi:10.18637/jss.v076.c01>).