Metric invariance is a crucial property in measurement models that ensures the scale of measurement is consistent across different groups or conditions, allowing for meaningful comparison of latent constructs. Without metric invariance, differences in observed scores could be attributed to measurement artifacts rather than true differences in the constructs being measured.