LSAT6

Data from Thissen (1982); contains 5 dichotomously scored
  items obtained from the Law School Admissions Test,
  section 6.

datasets

data

Analysis of dichotomous and polytomous response data using latent
    trait models under the Item Response Theory paradigm. Exploratory models
    can be estimated via quadrature or stochastic methods, a generalized
    confirmatory bi-factor analysis is included, and confirmatory models can be
    fit with a Metropolis-Hastings Robbins-Monro algorithm which may include
    polynomial or product constructed latent traits. Multiple group analysis
    and mixed effects designs may be performed for unidimensional or
    multidimensional item response models for detecting differential item
    functioning and modelling item and person covariates.

LSAT6: Description of LSAT6 data

Description

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Examples