Which option best indicates a comprehensive consideration of data limitations?

• A. Data sources
• B. Sampling methods
• C. Biases and measurement errors
• D. All of the above

Answer: (D)

When assessing data limitations, you look at how trustworthy and applicable the data are from every angle: where the data come from, how they were collected, and how accurate they are. Data sources matter because some datasets may cover only certain areas or time periods, or may not be reliable. Sampling methods matter because if the sample isn’t representative of the whole population, the results won’t generalize well. Biases and measurement errors matter because even good data can be distorted by systematic errors or faulty instruments, leading to incorrect conclusions. To truly understand how data might limit your study, you need to consider all of these factors together. That’s why the best choice is the one that includes all of them.