Author's response to reviews Title: Latent variables and structural equation models for longitudinal relationships: an illustration in nutritional epidemiology Authors:

Latent variables and structural equation models for longitudinal relationships: an illustration in nutritional epidemiology

BACKGROUND The use of structural equation modeling and latent variables remains uncommon in epidemiology despite its potential usefulness. The latter was illustrated by studying cross-sectional and longitudinal relationships between eating behavior and adiposity, using four different indicators of fat mass. METHODS Using data from a longitudinal community-based study, we fitted structural equ...

Structural Equation Modeling (SEM) in Health Sciences Education Researches: An Overview of the Method and Its Application

Introduction: There are many situations through which researchers of human sciences particularly in health sciences education attempt to assess relationships of variables. Moreover researchers may be willing to assess overall fit of theoretical models with the data emerged from the study population. This review introduces the structural equation models method and its application in health scien...

مدل معادلات ساختاری و کاربرد آن در مطالعات روانشناسی: یک مطالعه مروری

Introduction: Structural Equation Modeling (SEM) is a very general statistical modeling technique, which is widely used in the behavioral sciences. It can be viewed as a combination of path analysis, regression and factor analysis.  One of the prominent features of this method is the ability to compute direct, indirect and total effects, as well as latent variable modeling. Methods: This sy...

Generalized Multilevel Structural Equation Modeling

A unifying framework for generalized multilevel structural equation modeling is introduced. The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine features of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent variables. The response model generalizes GLMMs to...

Author's response to reviews Title: Health status transitions in community-living elderly with complex care needs: a latent class approach Authors: