'Structural equation modelling includes' presentation slideshows

SEM Using AMOS | Data Mining | Analysis Of A Moment Structure | Big Data Analytics | Structural Equation Modelling

Structural Equation Modelling (SEM) is a widely used technique in statistics to primarily study relationships based on structures. It encompasses various models involving mathematics, statistical procedures etc. This technique is known to be extremely effective when it comes to measuring latent constructs. Many of us might be familiar with concepts like Multiple Regression Analysis and Factor Analysis, this in simple term, is a combination of these techniques. It is, in fact, a mere extension of General Linear Model. You can test a bunch of regression techniques at the same time. Structural Equation Modelling includes a model that makes room for a lot of other statistical techniques such as path analysis, confirmatory factor analysis and latent growth modelling etc. This is impressive as SEM as a type of model covers many models that are both traditional and complex. It is also effective in the assessment of variance and Multiple Regression along with enabling modelling with latent variables.

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