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Activity Number: 481
Type: Contributed
Date/Time: Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract - #307145
Title: Latent Class Growth Models: an Application
Author(s): Maragatha Kuchibhatla*+ and Gerda Fillenbaum
Companies: Duke University Medical Center and Duke University Medical Center
Address: Box 3003, Durham, NC, 27110,
Keywords: latent class growth model ; longitudinal data ; latent classes ; epidemiological
Abstract:

Most growth modeling techniques assume a single growth model to describe the change. Latent class growth models (LCGM) on the other hand, tests if more than one distinct class can be used to describe the sample. The number of latent classes is determined by sequentially increasing the number of classes and examining fit statistics (Akaike information criteria (AIC), Bayesian information criteria (BIC), and sample size adjusted BIC (SSABIC)). LCGM is used here to determine the number of classes to describe change in activities of daily living (ADL) and in cognition (Short Portable Mental Status Questionnaire) using 10-year longitudinal sample of Duke Established Populations for Epidemiologic Studies of the Elderly. LCGM derived 3 classes each in ADL (low declining, moderate declining and high improving groups) and SPMSQ (low stable, low declining and high stable groups).

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