Final answer:
The scheduling of sampling sessions depends on population size, sampling method, availability of participants, and research timeline.
Step-by-step explanation:
Scheduled sampling is a technique for avoiding one of the known problems in sequence-to-sequence generation: exposure bias.
The scheduling of sampling sessions depends on several factors:
- Population size: Larger populations may require longer sampling sessions to ensure an adequate representation of the population.
- Sampling method: Different sampling methods may require different lengths of time. For example, convenience sampling can be done relatively quickly, while stratified sampling may take longer.
- Availability of participants: The availability of the participants may dictate when the sampling sessions can be scheduled. For example, if the participants are only available on weekends, the sampling sessions may need to be scheduled accordingly.
- Research timeline: The overall timeline of the research project may also influence the scheduling of sampling sessions. Researchers may need to consider the time needed for data collection, analysis, and reporting.