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Chapter 7: Problem 3

Explain briefly the meaning of nonsampling errors. Give an example. Do such errors occur only in a sample survey, or can they occur in both a sample survey and a census?

Short Answer

Expert verified
Nonsampling errors occur due to errors made during data collection, recording processing and interpretation of the data. For example, an error due to a respondent misinterpreting a survey question. Such errors can occur in both sample surveys and censuses.

Step by step solution

01

Define nonsampling errors

Nonsampling errors are errors that occur not due to the sampling process, but due to other aspects of the data collection process. They may include errors caused by respondents' responses, errors made during data collection, recording, or processing, and errors made by the researcher while interpreting the data.
02

Provide an example of nonsampling errors

An example of a nonsampling error could be a respondent misinterpreting a question in a survey, and providing an incorrect response. There could also be errors made during the data coding and entry process. For instance, if a response is incorrectly entered into a database by a researcher, this would also be considered a nonsampling error.
03

Evaluate if nonsampling errors occur only in sample surveys or in censuses

Nonsampling errors can occur in both sample surveys and censuses. Although some strategies to reduce nonsampling errors may differ between these two types of data collection, the potential for these types of errors exists in both methods. Therefore, they are not exclusive to sample surveys.

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