The aim of the paper is to specify and ¯t a multilevel model for a polytomous response in presence of potential selection bias. The work is motivated by the analysis of the way of acquisition of the skills of university graduates. In order to taking into account the features of the data, a suitable multivariate multilevel model for polytomous responses with a non-ignorable missing data mechanism is developed and ¯tted by means of maximum likelihood with adaptive Gaussian quadrature. In the application the multilevel structure has a crucial role, while selection bias results negligible.
A Polytomous Response Multilevel Model with a Non Ignorable Selection Mechanism / L. Grilli; C. Rampichini. - STAMPA. - (2004), pp. 194-198. (Intervento presentato al convegno 19th International Workshop on Statistical Modelling tenutosi a Firenze nel 4-8 July 2004).
A Polytomous Response Multilevel Model with a Non Ignorable Selection Mechanism
GRILLI, LEONARDO;RAMPICHINI, CARLA
2004
Abstract
The aim of the paper is to specify and ¯t a multilevel model for a polytomous response in presence of potential selection bias. The work is motivated by the analysis of the way of acquisition of the skills of university graduates. In order to taking into account the features of the data, a suitable multivariate multilevel model for polytomous responses with a non-ignorable missing data mechanism is developed and ¯tted by means of maximum likelihood with adaptive Gaussian quadrature. In the application the multilevel structure has a crucial role, while selection bias results negligible.
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