Which concept is concerned with ensuring that data collection is feasible despite changing facts and bias?

Which concept is concerned with ensuring that data collection is feasible despite changing facts and bias?

• A. Access limits
• B. Challenges to Data Collection
• C. Plan Development
• D. Plan Acceptance

Answer: (B)

The main concept being tested is recognizing and managing obstacles that can make data collection hard when facts change and bias is present. When information shifts or sources carry bias, the key concern is whether you can still gather reliable, usable data. The best answer focuses on identifying and addressing these challenges—anticipating data gaps, measurement errors, nonresponse, source bias, and changing information streams—so data collection remains feasible as conditions evolve. Access limits are about who can get the data, not the ongoing difficulties of collecting it under changing facts and bias. Plan development is about creating the data collection plan itself, and plan acceptance concerns whether stakeholders approve that plan.

The main concept being tested is recognizing and managing obstacles that can make data collection hard when facts change and bias is present. When information shifts or sources carry bias, the key concern is whether you can still gather reliable, usable data. The best answer focuses on identifying and addressing these challenges—anticipating data gaps, measurement errors, nonresponse, source bias, and changing information streams—so data collection remains feasible as conditions evolve.

Access limits are about who can get the data, not the ongoing difficulties of collecting it under changing facts and bias. Plan development is about creating the data collection plan itself, and plan acceptance concerns whether stakeholders approve that plan.