Obtaining the same results when new data are collected but methods are kept similar?

• A. Replicability
• B. Reproducibility
• C. Constellation
• D. Workstream

Answer: (A)

This item tests replicability: the idea that findings remain similar when a study is repeated with new data collected using the same procedures. If you use the same study design, measurements, and analysis steps but gather fresh data, and the results come out similarly, that shows the result is not tied to a particular dataset but reflects a real pattern in the phenomenon. Reproducibility, by contrast, concerns re-analyzing the same data (often with the same code) to obtain the same results, focusing on the exact computational steps rather than independent data collection. The other terms don’t fit here because they’re not about consistent results across independently collected data using the same methods.