Latent Growth Curve Models
نویسنده
چکیده
منابع مشابه
Latent growth curve modeling as an integrative approach to the analysis of change
Latent Growth Curve Models (LGCM) are discussed as a general data-analytic approach to the analysis of change. Conventional, but popular, methods of analyzing change over time, such as the paired t-test, repeated measures ANOVA, or MANOVA, have a tradition, which is quite different from the more recently developed latent growth curve models. While the former originated from the idea of variance...
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Despite the widespread popularity of growth curve analysis, few studies have investigated robust growth curve models. In this paper, the t distribution is applied to model heavy-tailed data and contaminated normal data with outliers for growth curve analysis. The derived robust growth curve models are estimated through Bayesian methods utilizing data augmentation and Gibbs sampling algorithms. ...
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The main purpose of this paper is to investigate the performance of Nigerian insurance companies using Data Envelopment Analysis (DEA). Because of the unavailability of the required data, the study is limited to ten Nigerian insurance companies for the period of five years from 2008 to 2012. The input employed were commission expenses and management expenses, while premium and investment income...
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In its most basic form, latent growth modeling (latent curve analysis) allows an assessment of individuals’change in a measured variable X over time. For simple linear models, as with other growth models, parameter estimates associated with the α construct (amount of X at a chosen temporal reference point) and β construct (growth in X per unit time) are not invariant with respect to choice of r...
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