Non-response error is a

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BlackTom AI · Accepted Answer

Consider the concept in survey methodology where non-response is categorized.
Option 1: 'measurement error.' This usually refers to errors in the data collected from instruments or respondents that mismeasure the true value, not specifically due to a respondent not answering; thus it does not accurately describe non-response.
Option 2: 'none of the other three.' This would be chosen only if none of the listed options fit, but there is an option that correctly describes non-response, so this is unlikely to be correct.
Option 3: 'nonsampling error.' Non-response error arises from issues in data collection that are not related to the sampling process itself, such as people not responding, missing data, or unit nonresponse. These are typically categorized as nonsampling errors because they are biases or inaccuracies not caused by the act of sampling.
Option 4: 'sampling error.' This refers to the natural variability that arises from analyzing a sample rather than the entire population, which is an inherent part of the sampling process itself and not the non-response issue being described.
In sum, non-response falls under nonsampling error since it pertains to errors introduced during data collection independent of the sampling design, whereas measurement error and sampling error describe other distinct issues, and 'none of the other three' is incorrect because a correct category exists.

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Non-response error is a

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