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Structural Equation Modeling with Causal Discipline: A Practical Tutorial from Regression and Mediation to Latent Variables and Growth Models in R and Mplus
Structural equation modeling (SEM) makes it easy to draw paths, estimate latent-variable models, and decompose associations, but those conveniences can blur three distinct questions: what statistical parameter is being estimated, what construct is being measured, and what additional assumptions woul
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