Scalar invariance is a level of measurement invariance in structural equation modeling that ensures the equality of item intercepts across groups, allowing for meaningful comparison of latent means. Achieving scalar invariance is crucial for ensuring that differences in observed scores reflect true differences in the latent construct rather than measurement artifacts.