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Multilevel SEM Modeling with xxM https://www.udemy.com/multilevel-sem-modeling-with-xxm/?couponCode=OCTFOR10 Multilevel SEM Modeling with xxM is a "must have" course for anyone interested in SEM modeling. It teaches the use of the xxM package in R developed by Dr. Paras Mehta at the University of Houston. Dr. Mehta states that xxM is the only software in the world at this time that enables multilevel SEM modeling with any number of data-dependent levels using both latent and observed variables both within and between levels. We offer this xxM course for $10 USD total if you register during October following the link provided. Multilevel SEM Modeling with xxM https://www.udemy.com/multilevel-sem-modeling-with-xxm/?couponCode=OCTFOR10 Multilevel SEM Modeling with xxM Multilevel modeling is a term alternately used to describe hierarchical linear models, nested models, mixed-effects models, random-effects models, and split-plot designs. They are statistical models for estimating parameters that vary at more than one level and which may contain both observed and latent variables at any level. They are generalizations of linear models, particularly linear regression, although they may be extended to non-linear models. xxM is an R package which can estimate multilevel SEM models characterized by complex level-dependent data structures containing both observed and latent variables. The package was developed at the University of Houston by a collaborative team headed by Dr. Paras Mehta. xxM implements a modeling framework called n-Level Structural Equation Modeling (NL-SEM) which allows the specification of models with any number of levels. Because observed and latent variables are allowed at all levels, a conventional SEM model may be specified for each level and across any levels. Also, the random-effects of observed variables are allowed both within and across levels. Mehta claims that xxM is the only software tool in the world that is capable of estimating the effects of both observed and latent variables in a SEM nomological network across an unlimited number of levels. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.