Latent variables are unobserved variables that are inferred from observed data, representing underlying factors that influence measurable outcomes. They are crucial in statistical modeling as they help capture relationships that aren't directly observable, such as attitudes, intelligence, or social constructs. By identifying these hidden factors, researchers can better understand complex systems and improve predictive accuracy.
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