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Define non-response bias and explain why it remains a threat to survey research even when researchers utilize careful random sampling procedures.
Question: Define non-response bias and explain why it remains a threat to survey research even when researchers utilize careful random sampling procedures.
Sample answer: Non-response bias is a specific form of sampling bias that occurs when individuals who choose not to participate in a survey differ systematically from those who actually complete it. Even if a study employs careful random sampling to initially select participants, it is almost never the case that everyone selected will respond. Some individuals may have moved away, while others might decline because they are too busy, lack interest in the topic, or refuse on principle. Because these non-responders differ systematically from the final respondents, the final sample no longer accurately represents the original intended sample, which can skew the data and lead to inaccurate conclusions.
Key points:
- Non-response bias is a specific form of sampling bias.
- It occurs when non-participants differ systematically from actual survey participants.
- Initial random sampling does not prevent this bias because participation is ultimately voluntary.
- Individuals may decline to participate because they are too busy, uninterested, or opposed on principle.
- The final pool of respondents fails to accurately represent the original intended sample, skewing the study's results.
Rubric: The essay must accurately define non-response bias, explain that it occurs post-sampling due to participation choices, list at least one reason for non-response (e.g., too busy, declined on principle), and describe how this systematic difference affects the final sample's representativeness and the study's conclusions.
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Research Methods in Psychology - 4th American Edition @ KPU
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Define non-response bias and explain why it remains a threat to survey research even when researchers utilize careful random sampling procedures.
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