SAT12

Data obtained from the TESTFACT (Woods et al., 2003)
  manual, with 32 response pattern scored items for a grade
  12 science assessment test (SAT) measuring topics of
  chemistry, biology, and physics. The scoring key for
  these data is [1, 4, 5, 2, 3, 1, 2, 1, 3, 1, 2, 4, 2, 1,
  5, 3, 4, 4, 1, 4, 3, 3, 4, 1, 3, 5, 1, 3, 1, 5, 4, 5],
  respectively.

datasets

data

Analysis of dichotomous and polytomous response data using
        latent trait models under the Item Response Theory paradigm.
        Includes univariate and multivariate one-, two-, three-, and
        four-parameter logistic models, graded response models,
        generalized partial credit models, nominal models, multiple
        choice models, and multivariate partially-compensatory models.
        These can be used in an exploratory or confirmatory manner with
        optional user defined linear constraints. 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 can include polynomial or product
        constructed latent traits.

SAT12: Description of SAT12 data

Description

Arguments

References