Explanatory Item Response Modeling for Dichotomous and Polytomous Items
Profile Analysis of Multivariate Data in R
Estimating explanatory item response modeling using the GLMM framework
Graphical user interface (GUI) of the eirm function
Plots of Estimated Marginal Effects in Explanatory IRT Models
Pipe operator
Person-Item Map for Explanatory IRT Models
Reformat polytomous item responses in a long format for explanatory it...
Printing Estimated Parameters for Explanatory IRT Models
Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Bulut, Gorgun, & Yildirim-Erbasli (2021) <doi:10.3390/psych3030023>, Stanke & Bulut (2019) <doi:10.21449/ijate.515085>, and De Boeck & Wilson (2004) <doi:10.1007/978-1-4757-3990-9>. Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses.