mixRasch

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Author: John T. Willse
Contact: https://cran.r-project.org/web/packages/mixrasch
Description: The included function will estimate a mixture Rasch model using joint maximum likelihood esti-mation (JMLE). The estimation is based on a mixture partial credit model. Step parameters can be constrained to estimate a mixture rating scale model. Estimating a model with only one latent class accomplishes a standard Rasch analysis with JMLE.
Analyses: Attitude Scaling; Dimensionality; Factor/Latent Structure; Generalizability; Interrater Reliability; Interrater Reliability; Item & Test Analysis; Multidimensional Models; Reliability; Scaling; Scoring; Simulation/Resampling
System Requirements: Windows, Mac OS, & Linux
Measurement Model: IRT/Rasch
License Type: Open-Source (R)
Documentation: User Manual

Software License
Open-Source (R)
Measurement Model
Item Response Theory; Rasch
Analysis
Attitude Scaling; Dimensionality; Factor/Latent Structure; Generalizability; Interrater Reliability; Interrater Reliability; Item & Test Analysis; Multidimensional Models; Reliability; Scaling; Scoring; Simulation/Resampling