How can I reduce non-sampling error in my research?
To reduce non-sampling error, ensure your data collection methods are consistent and your sample is representative.
What are some common sources of non-sampling error?
Common sources include measurement errors, non-response bias, and data processing mistakes.
How can I minimize measurement errors?
You can minimize measurement errors by using validated instruments, training data collectors, and conducting pilot tests.
Is there a way to assess the impact of non-sampling errors?
Yes, you can conduct sensitivity analyses to see how different errors affect your results.
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