## Different types of structural equation modelling analysis

By Riya Jain and Priya Chetty on October 20, 2021

There are five major types of structural equation modelling analysis. Each of them helps to build a relationship between variables.

## Understanding the foundations of structural equation modeling

By Riya Jain and Priya Chetty on October 14, 2021

Structural equation modeling (SEM) is a powerful multivariate technique used increasingly in scientific investigations for evaluating and testing the relationships between variables.

## Criteria for reliability and validity in SEM analysis

By Riya Jain and Priya Chetty on September 30, 2021

The principles of validity and reliability in SEM are used to assess the quality of research. They reflect the accuracy with which a method, approach, or test measures a problem.

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## Understanding the application of Structural Equation Modelling (SEM)

By Riya Jain and Priya Chetty on August 3, 2021

SEM establishes the relationship between two or more variables. It also determines the efficiency of the model created in the process.

## How to perform structural equation modelling (SEM) analysis with AMOS?

By Riya Jain and Abhinash Jena on February 11, 2020

Structural equation modelling analysis being the multivariate statistical tool helps in determining the direct and indirect linkage between the variables.

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## What is Structural Equation Modelling (SEM) analysis?

By Riya Jain and Abhinash Jena on February 10, 2020

Structural Equation Modelling (SEM) analysis is a statistical method used in social science studies for testing the linkage between multiple variables at any point in time. SEM analysis is an extension of the simple linear model.

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## Structural equation model (SEM)

By Soumya Srivastava on March 20, 2018

Structural equation model is a statistical modeling technique. Structural equation model (SEM) tests estimate or establish relationships between variables. It is a multivariate statistical data analysis technique. SEM analyzes the structural relationships or to establish causal relationships between variables.