--- title: "Structural equation modeling" author: "Sandra M Durán" date: "December 22, 2017" output: html_document --- **Lesson on structural equation modeling (SEM) in R- Dec 7 2017** In this script, ...

Structural equation modeling is a multivariate data analysis technique that allows researchers to concurrently analyze multiple relationships among manifest and latent variables. Two main approaches ...

Multiple regression and beyond. An Introduction to multiple regression and structural equation modeling. (3rd ed.). Taylor & Francis. Examination You will earn 5 credit points for participating in the ...

Four hypotheses were elaborated and empirically tested through structural equation modelling. The sample was composed by 684 students (6th to 12th graders) from a private Brazilian school, which ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates.

Structural equational modelling procedures were performed to determine direct, indirect and overall effects between condom use and latent variables across multiple socioecological levels: personal (ie ...