Which scenario is an example of observer drift?

Observer drift refers to a gradual and often unintentional change in the standards or criteria used by an observer when measuring or interpreting behaviors over time. In this scenario, a systematic change in behavior observation standards means that the observer may start to apply different criteria for what constitutes a particular behavior, thereby affecting the consistency and reliability of the data collected.

When standards shift without an explicit intent or acknowledgment by the observer, it can lead to discrepancies in data that make longitudinal comparisons difficult or invalid. This concept is particularly relevant in fields like psychology, education, and behavior analysis, where precise and consistent observations are crucial for effective intervention and assessment.

In contrast, intentional changes in observation tools or recording frequency involve deliberate modifications made to enhance data collection methods or adapt to new research questions. A decrease in observer accuracy, while a potential consequence of drift, describes a result rather than the phenomenon itself. The key characteristic of observer drift is the unintentional alteration of definitions or standards used during observation, which is well captured in the scenario provided.