Structural Equation Modelling using AMOS: With Examples

Learn and understand how to perform Structural Equation Modelling Analysis using AMOS.
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  • Lectures 14
  • Contents Video: 1.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
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About This Course

Published 11/2014 English

Course Description

In this course we explain you how to perform structural equation modelling analysis using AMOS. This course covers all the basic and advance concepts related to structural equation modelling analysis.

This course is designed keeping in mind the the beginners and the advanced learners who wish to learn structural equation modelling analysis in detail. We have carefully mixed the theory and examples to explain the related concepts in a very simple way.

This course is a detailed course for anyone who is interested in learning how to practically use structural equation modelling technique using AMOS.

What are the requirements?

  • Student's should be familiar with the concept of regression analysis, and factor analysis.
  • Student's should have access to SPSS/AMOS
  • Student's should have basic knowledge about statitics and probablity.

What am I going to get from this course?

  • Perform Structural Equation Modelling Analysis in AMOS.
  • Test their Structural Models using AMOS.
  • Appreciate the concepts behind Structural Equation Modelling Analysis.

What is the target audience?

  • This course is relevent to scholars and researchers who wish to apply structural equation modelling analysis for their research work.
  • This is a detailed Structural Equation Modelling Course that covers all the preliminary and advance topics related to Structural Equation Modelling Analysis.
  • No prior knowledge about Structural Equation Modelling is required.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction to Structural Equation Modelling
06:54
This is an introductory lecture on Structural Equation Modelling. In this lecture, the goal is to introduce you a multivariate data analytic technique called Structural Equation Modelling (or SEM). Alternately, SEM is also called path modelling, causal modelling, and latent variable path analysis.
SEM: Introduction
4 questions
12:23

This lecture aims to familiarize you with different concepts and terms that are commonly used in SEM analysis. In addition, this lecture explains you about the data considerations that are required while performing SEM analysis.

SEM: Concept and Terminology
4 questions
11:35
This lecture guides you through the steps that are required to perform SEM analysis. In addition, this lecture explains you about the different model fit indices to help you evaluate your structural model.
SEM: The 5 Step Process
4 questions
Section 2: Specifying a Structural Model in AMOS
09:27

This lecture walks you through the steps that are required to construct a structural model in AMOS.

How to Specify a Structural Model in AMOS
2 questions
05:38
This lecture walks you through the steps that are required to estimate a structural model in AMOS.
Section 3: Exploratory Factor Analysis
06:50
In this video we give you an overview of exploratory factor analysis. This video will explain you the basics of EFA, steps to perform EFA, and criterions for determining the number of factors in the dataset.
Section 4: Confirmatory Factor Analysis
10:56
In this video we give you an overview of confirmatory factor analysis. This video will explain you the basics of CFA, and steps to perform CFA.
05:46

In this video we explain how to perform a second order Confirmatory Factor Analysis using AMOS.

04:33
This video explains how to test the independence of two factors using confirmatory factor analysis.
11:06

In this video we explain how to test the reliability and validity (convergent and divergent) of a construct using confirmatory factor analysis. In particular we talk about how to estimate the composite reliability, average variance extracted, maximum shared variance, and the average shared variance. Later we talk about how to use these measures to establish convergent and divergent validity.

Section 5: Testing Common Method Bias
01:10

In this video we explain what is common method bias and why does it arise in your dataset.

01:34

In this video we explain how we can use Harman's Single Factor Method to test for the presence of Common Method Bias issue in a dataset.

03:33
In this video we explain how we can use Common Latent Factor Method to test for the presence of Common Method Bias issue in a dataset.
Section 6: Mediation Analysis
07:29

In this video we look at how we can perform mediation analysis using AMOS. We use a hypothetical structural model and test for the presence of mediation effect in this model.

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Instructor Biography

Ashish Soni, Chief Statistical Officer at PIE TUTORS

I am a Data Scientist and Chief Statistical Officer at PIE TUTORS. As Chief Statistical Officer at PIE TUTORS, I work with scholars and researchers and help them in their research projects. I have 7 years of work experience in the field of statistical consulting and data analysis and during this period I have worked with scholars and researchers around the world.

I hold a Masters Degree in Economics, and a Bachelors Degree in Engineering. In addition, I am pursuing a Post Graduate Diploma in Applied Statistics. Further, I have got two research papers which are under review for publication.

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