The term that assesses the consistency of observations by different observers is called "inter-rater reliability" (also known as interobserver reliability). It measures the degree of agreement or consistency between different people observing or assessing the same phenomenon, behavior, or variable. High inter- rater reliability indicates that different observers give similar ratings or observations, reducing subjectivity and increasing the reliability of the data collected. Statistical methods such as Cohen’s Kappa or the Intraclass Correlation Coefficient (ICC) are often used to quantify this agreement. Improving inter-rater reliability involves clear definitions, standardized criteria, and training for observers to ensure consistent observations.
