Mostrando recursos 1 - 2 de 2

  1. The Rasch Sampler

    Verhelst, Norman D.; Hatzinger, Reinhold; Mair, Patrick
    The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square matrices with given marginals and fixed main diagonal, a problem prominent in social network analysis. In all cases the stationary distribution is uniform. The user has control on the serial dependency. (authors' abstract)
    (application/pdf) - 18-oct-2016

  2. Extended Rasch Modeling: The eRm Package for the Application of IRT Models in R

    Mair, Patrick; Hatzinger, Reinhold
    Item response theory models (IRT) are increasingly becoming established in social science research, particularly in the analysis of performance or attitudinal data in psychology, education, medicine, marketing and other fields where testing is relevant. We propose the R package eRm (extended Rasch modeling) for computing Rasch models and several extensions. A main characteristic of some IRT models, the Rasch model being the most prominent, concerns the separation of two kinds of parameters, one that describes qualities of the subject under investigation, and the other relates to qualities of the situation under which the response of a subject is observed. Using...
    (application/pdf) - 18-oct-2016

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