What does discontinuous data collection typically require?

Discontinuous data collection typically requires sampling, which involves observing and recording behavior only at specific intervals rather than continuously. This method allows practitioners to gather data on a behavior without needing to monitor it constantly throughout a given time frame. For example, an observer might collect data every five minutes or during predefined time slots, thereby providing a representative snapshot of the behavior over time.

The advantage of using sampling in discontinuous data collection is its efficiency, as it reduces the burden of recording while still capturing crucial data trends and patterns. This can be particularly useful in settings where continuous observation is impractical, such as during group activities or in busy environments.