Content Validity
The extent to which a measure represents all facets of a given construct, ensuring the content covers all relevant aspects.
The extent to which a measure represents all facets of a given construct, ensuring the content covers all relevant aspects.
The process of overseeing and coordinating the development, testing, and deployment of software releases to ensure they are delivered efficiently and effectively.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group.
A software development practice where code changes are automatically deployed to production without manual intervention.
A deployment strategy that reduces downtime and risk by running two identical production environments, switching traffic between them.
Artificially generated data that mimics real data, used for training machine learning models.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
The process of designing, developing, and managing tools and techniques for measuring performance and collecting data.