Growth Mixture Modeling with Measurement Selection
نویسندگان
چکیده
منابع مشابه
Growth mixture modeling with non-normal distributions.
A limiting feature of previous work on growth mixture modeling is the assumption of normally distributed variables within each latent class. With strongly non-normal outcomes, this means that several latent classes are required to capture the observed variable distributions. Being able to relax the assumption of within-class normality has the advantage that a non-normal observed distribution do...
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Latent growth curve modeling (LGM) combined with the latent classes (LGMM) in the SEM context, is the method under investigation in this study. This dynamic way of analyzing longitudinal data takes an increasingly central position in the social sciences, e.g. in psychology. Despite twenty years development of the theory behind the LGM and LGMM, these are novel methods in analyzing data in pract...
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ژورنال
عنوان ژورنال: Journal of Classification
سال: 2018
ISSN: 0176-4268,1432-1343
DOI: 10.1007/s00357-018-9275-9