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Structural equation modeling (SEM) includes a diverse pair of mathematical models, computer algorithms, and statistical methods that fit sites of constructs to data.[1] SEM includes confirmatory element analysis, confirmatory composite analysis, path analysis, partial minimum squares course modeling, and latent development modeling.[2] The concept shouldn't be confused because of the related notion of structural models in econometrics, nor with structural models in economics. Structural equation models are often used to evaluate unobservable 'latent' constructs. They often times invoke a measurement model that defines latent variables utilizing a number of noticed factors, and a structural model that imputes relationships between latent factors.[1][3] Backlinks between constructs of a structural equation model might calculated with independent regression equations or through more involved approaches such as those employed in LISREL.[4]
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