Multilevel SEM Modeling with xxM

How to estimate a multilevel SEM model containing both observed and latent variables and any number of dependent levels.
3.73 (40 reviews)
Udemy
platform
English
language
Engineering
category
Multilevel SEM Modeling with xxM
1,334
students
6.5 hours
content
Sep 2020
last update
$39.99
regular price

What you will learn

Specify, model, and estimate either: (1) multilevel SEM models using latent variables; and/or (2) multilevel regression models using only observed data: and/or (3) mixed (both observed and latent variables) multilevel path-based models.

Effectively use the only software that exists in the world (which is freely provided with the course materials) capable of N-Level (any number of levels) multilevel SEM modeling.

Incorporate both observed and latent variables in a data-dependent structural network both within and across levels.

Incorporate any number of data-dependent levels in the SEM model.

Be able to include both fixed and random effects for the observed data across any number of dependent levels.

Be able to specify both random-intercept and random-slopes multilevel SEM models.

Screenshots

Multilevel SEM Modeling with xxM - Screenshot_01Multilevel SEM Modeling with xxM - Screenshot_02Multilevel SEM Modeling with xxM - Screenshot_03Multilevel SEM Modeling with xxM - Screenshot_04
Related Topics
605362
udemy ID
9/8/2015
course created date
11/22/2019
course indexed date
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