Testing programs often rely on common-item equating to maintain a single measurement scale across multiple test administrations and multiple years. Changes over time, in the item parameters and the latent trait underlying the scale, can lead to inaccurate score comparisons and misclassifications of examinees. This study examined how instability in a scale and the items composing a scale affects item parameter recovery and classification accuracy. Results showed that a Rasch item response theory scale can maintain near baseline recovery properties if the changes in the latent trait over time are small. The Rasch scale also maintained good recovery of item and person parameters if there was equal item drift in both directions. Under conditions of relatively little item drift and small to moderate periodic changes in the latent trait, a Rasch scale may remain stable for 15 years, ±3. Substantial item drift or large changes in the latent trait can dramatically reduce the longevity of the scale.