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Structural Equation Modelling - SEM

The National Centre for Research Methods via YouTube

Overview

Explore the fundamentals and advanced concepts of Structural Equation Modeling (SEM) in this comprehensive six-part video series presented by The National Centre for Research Methods. Begin with an introduction to SEM and its applications, then delve into key ideas, terms, and concepts. Progress through Confirmatory Factor Analysis, learn how to transition from measurement models to structural models, and understand recursive and non-recursive models. Conclude by mastering mediation models, including direct, indirect, and total effects. This 2.5-hour series provides a thorough grounding in SEM techniques for researchers and statisticians seeking to enhance their analytical skills.

Syllabus

Mediation models: direct, indirect and total effects (part 6 of 6).
Recursive and non-recursive models (part 5 of 6).
From Measurement Model to Structural Model (part 4 of 6).
Confirmatory Factor Analysis; Patrick Sturgis (part 3 of 6).
Key ideas, terms & concepts in Structural Equation Modeling; Patrick Sturgis (part 2 of 6).
Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6).

Taught by

NCRMUK

Reviews

4.0 rating, based on 5 Class Central reviews

Start your review of Structural Equation Modelling - SEM

  • Dr. Amare Teshome Tefera
    The course is very important for beginners. I recommend the organizers include regression analysis using sample data. I have benefited from the course. Thank you
  • Profile image for Kassaye Bekele
    Kassaye Bekele
    the program is so smart short and precise which helps to understand SEM in short period of time.
    I thank you all!
  • Profile image for Sb Col
    Sb Col
    The course covers a lot of theoretical aspects. Though it should also use examples. A lot of the time i felt lost without illustrations.
  • Profile image for Nitin Borse
    Nitin Borse
    The course provides a thorough introduction to SEM, covering a wide range of topics from confirmatory factor analysis to path analysis. It’s designed to extend statistical understanding beyond correlation and regression, diving into the nuances of SEM. The course content is well-structured, making complex concepts accessible to beginners while still being detailed enough for those looking to deepen their knowledge.
  • Siddharth Gopal Das
    Very direct and to the point narrative. There should be more examples or illustrations with regard to concepts.

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