EQSIRT – a comprehensive Item Response Theory computer program – was developed with funding by the U.S. National Cancer Institute through a Small Business Innovation Research (SBIR) grant motivated by NIH’s Patient Reported Outcomes (PROMIS) initiative.

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 send an email to the sales department at sales@mvsoft.com.

No. 2

Dimensionality Assessment

  • Correlation Based Exploratory Factor Analysis
  • Full Information Exploratory Factor Analysis

No. 3

IRT Models

  1. 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)
  2. 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

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