Generalizability Theory is a statistical framework for conceptualizing, investigating, and designing reliable observations, extending classical test theory by analyzing the multiple sources of error variance in measurement. It allows researchers to determine how well findings can be generalized across different conditions, providing a more comprehensive understanding of the reliability of measurements.