Semi-Automated Rasch Analysis
autoRasch: A package for semi-automatic Rasch analysis
autoRasch Optimization Parameters Setting
Compute the In-plus-out-of-questionnaire log likelihood (with DIF) (IP...
Create Mapping Matrix of DIF Groups
The Simulated Dataset
Fit statistics
Generate the artificial dataset
Estimation of the generic form of the models
Estimation of The Generalized Partial Credit Model
Estimation of The Generalized Partial Credit Model with DIF
Residual Correlation
Estimation of The Partial Credit Model (PCM)
Estimation of The Partial Credit Model with DIF
Plot The Expected Value Curves
Plot The Item Characteristic Curves
Plot The Person-Item Map
Compute Reliability and Standard Error
Stepwise Selection Search
Unidimensionality Check
Performs Rasch analysis (semi-)automatically, which has been shown to be comparable with the standard Rasch analysis (Feri Wijayanto et al. (2021) <doi:10.1111/bmsp.12218>, Feri Wijayanto et al. (2022) <doi:10.3758/s13428-022-01947-9>, Feri Wijayanto et al. (2022) <doi:10.1177/01466216221125178>).