Yes, stability is considered one of the psychometric properties. Stability, often referred to as reliability, measures the consistency of a test or measurement tool over time. If a tool is stable, it means that it produces similar results under consistent conditions across multiple testing instances
Stability is a psychometric property of a test referring to invariance over time. In other words, it quantifies whether a test score changes when it is retaken by the same individuals at a later time. Stability can be estimated, for example, using what is called test-retest reliability, which is the correlation between the test scores in two time points. It's worth noting that low stability might not automatically be an issue: there can be a true change in the measured construct, and it's important to distinguish the true change from a change caused by issues in the instrument. The time interval between test and retest depends on the construct because some can be assumed to be more stable than others. Knowledge about test stability is essential for replicability.
See more:
Leppink, J., & Pérez-Fuster, P. (2017). We need more replication research – A case for test-retest reliability. Perspectives on Medical Education, 6(3), 158–164. https://doi.org/10.1007/s40037-017-0347-z
Polit, D. F. (2014). Getting serious about test-retest reliability: a critique of retest research and some recommendations. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 23(6), 1713–1720. https://doi.org/10.1007/s11136-014-0632-9
A stability sample is a sample of a product that is kept for testing over time to see if it remains safe and effective. This is done by storing it under different conditions, like heat or humidity, to check if the product changes in quality. The results help determine how long the product can be used safely before it expires.