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Structural Equation Modeling

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May 1, 2024 3 minute read

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Structural Equation Modeling (SEM) is a powerful statistical technique used to investigate relationships between observed and latent variables. Latent variables are constructs that cannot be directly measured but are inferred from observed variables. SEM allows researchers to test hypotheses about the relationships between these variables and to estimate the strength and direction of those relationships.

Why Study Structural Equation Modeling?

There are many reasons why someone might want to learn about SEM. Some of the most common reasons include:

Path to Structural Equation Modeling

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We've curated four courses to help you on your path to Structural Equation Modeling. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

Structural Equation Model and its Applications |...

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Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)

Structural Equation Model and its Applications |...

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Structural Equation Modeling & Path Analysis using IBM AMOS

Structural Equation Modeling & Path Analysis using IBM...

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Análise de Dados Quantitativos

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Structural Equation Modeling.