Structural equation modeling is a statistical technique that allows researchers to examine multiple hypotheses while simultaneously controlling for error. It can consist of a variety of observed and latent independent, mediator, and dependent variables. Owing to it being confirmatory in nature, this statistical approach can be used quite readily to test theoretical models. Likewise, it provides overall fit indices that determine whether the model tested actually fits the observed data. This article provides nurses with the basics on structural equation modeling so they can assimilate evidence from studies that use this statistical tool and be able to incorporate such findings into practice.
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