The methodologies available in eqsirt are the following
Item Response Theory Module
No. 1
If you experience difficulties during installation of the software or are getting a bad disk error, please contact Multivariate Software’s sales department at email sales@mvsoft.com.
No. 2
Dimensionality Assessment
- Correlation Based Exploratory Factor Analysis
- Full Information Exploratory Factor Analysis
No. 3
IRT Models
- Unidimensional Models
- Binary data
- Rasch, 1PL, 2PL, and 3PL Models
- Parameter Estimation with MML and MCMC
- Polytomous Data
- Graded Response Model (GRM)
- Generalized Partial Credit Model (GPCM)
- Nominal Response Model (NRM)
- Binary data
- Multidimensional Models
- Binary data
- Rasch, 1PL, 2PL, and 3PL Models
- Multiunidimensional Parameter Estimation with MCMC
- Polytomous Data
- Graded Response Model (GRM)
- Generalized Partial Credit Model (GPCM)
- IRT Models with a Non-Normal Latent Trait (unidimensional only)
- Models with Equality and Fixed Constraints
- Multisample IRT Models (both uni and multidimensional models)
- Latent Traits Computed and Trait Scores Appended in Data Editor
- IRT Models with Covariates (MML version of GNLMM method)
- Differential Item Functioning (DIF)
- Equating
- Multilevel Models
- R Scripts Generated for IRT Plots
- Binary data
No. 4
Latent Class Analysis
- With Combination of Binary, Ordinal, and Continuous Items
- Estimated Class Membership Appended to Data Editor
No. 5
Mokken Scale Analysis
No. 6
EQSIRT Simulation