In this chapter, a longitudinal latent regression model that uses the Rasch analysis as a measurement tool is proposed for the first time. It consists of a random intercept and slopes logistic model with covariates at the second aggregation level. The imple- mentation of the model is performed in SAS, through the Nlmixed procedure. In such a way, it is possible to achieve better flexibility for the utilization by users of general statistical softwares.
Analysis of longitudinal HrQoL using latent regression in the context of Rasch modeling / Bacci S.. - STAMPA. - (2008), pp. 275-290.
Analysis of longitudinal HrQoL using latent regression in the context of Rasch modeling
Bacci S.
2008
Abstract
In this chapter, a longitudinal latent regression model that uses the Rasch analysis as a measurement tool is proposed for the first time. It consists of a random intercept and slopes logistic model with covariates at the second aggregation level. The imple- mentation of the model is performed in SAS, through the Nlmixed procedure. In such a way, it is possible to achieve better flexibility for the utilization by users of general statistical softwares.File in questo prodotto:
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