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- W434256503 abstract "The paper reviews recent work on latent variable models for ordinal longitudinal variables and factor models with non-linear terms. The model for longitudinal data has been recently proposed by Cagnone, Moustaki and Vasdekis (2008). The model allows for time-dependent latent variables to explain the associations among ordinal variables within time where the associations among the same items across time are modelled with item-specific random effects. Rizopoulos and Moustaki (2007) extended the generalized latent variable model framework to allow for non-linear terms (interactions and higher order terms). Both models are estimated with full information maximum likelihood. Computational aspects, goodness-of-fit statistics and an application are presented." @default.
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- W434256503 date "2008-08-07" @default.
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- W434256503 title "New Developments in Latent Variable Models: Non-linear and Dynamic Models" @default.
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- W434256503 doi "https://doi.org/10.1007/978-3-7908-2084-3_13" @default.
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