IBM SPSS AMOS Foundation Course: SEM Scratch to Advanced

Learn Structural Equation Modelling, Path Analysis and Confirmatory Analysis using IBM SPSS AMOS from Scratch

4.17 (1120 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

do confirmatory analysis using AMOS

establish reliability and validity of a scale using AMOS

do Structural Equation Modelling using AMOS

analyse complex path models and derive insight from multivariate data

Course Gallery

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Comidoc Review

Our Verdict

The IBM SPSS AMOS Foundation Course: SEM Scratch to Advanced is an excellent starting point for beginners looking to gain hands-on experience with SEM and its applications. The course covers a lot of ground and makes complex concepts accessible by breaking them down into simpler steps. However, it may not be the best resource for those seeking more advanced or theoretical knowledge on this subject.

What We Liked

The course starts from the basics and gradually covers more advanced concepts which makes it suitable for beginners with no prior experience in SEM or AMOS.
Clear explanations of the different features of AMOS and step-by-step demonstrations in the first half of the course help learners understand how to use the software effectively.
Includes helpful materials and literature, making it easy for learners to delve deeper into topics covered in the course.
The course is research oriented with a strong practical focus on applying SEM techniques on actual datasets. The APA style is also covered.

Potential Drawbacks

Lacks an in-depth exploration of the statistical underpinnings of Structural Equation Modeling and relies more heavily on its practical applications.
The heavy focus on EFA in the second half may be repetitive for those who have taken a prior psychometric course, while some might find the instructor's accent challenging to understand at times.
A few learners expressed that instructions could be clearer or more detailed in certain sections, which might affect the overall coherence and flow of information.
Mathematical explanations for the techniques taught are missing, leaving those interested in the theoretical aspects of SEM wanting.