1,721,114 research outputs found
On the conditional logistic estimator in two-arm experimental studies with non-compliance and before-after binary outcomes
No full textTwo-Tier Latent Class IRT Models in R
No full textIn analyzing data deriving from the administration of a questionnaire to a group of individu als, Item Response Theory (IRT) models provide a flexible framework to account for several aspects involved in the response process, such as the existence of multiple latent traits. In this paper, we focus on a class of semi-parametric multidimensional IRT models, in which these traits are represented through one or more discrete latent variables; these models allow us to cluster individuals into homo geneous latent classes and, at the same time, to properly study item characteristics. In particular, we follow a within-item multidimensional formulation similar to that adopted in the two-tier models, with each item measuring one or two latent traits. The proposed class of models may be estimated through the package MLCIRTwithin, whose functioning is illustrated in this paper with examples based on data about quality-of-life measurement and about the propensity to commit a crime
Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data
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Mixtures of equispaced Normal distributions and their use for testing symmetry in univariate data
No full textComment on the paper “On the memory complexity of the forward–backward algorithm,” by Khreich W., Granger E., Miri A., Sabourin, R.
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