Discuss the types of errors in surveys.

What will be an ideal response?


Survey research errors can be classified as being either sampling or nonsampling errors. Sampling error is the difference between the findings based on a sample and the true values for the population. Sampling error is caused by the method of sampling used and the size of the sample. It can be reduced by increasing sample size and using the appropriate sampling method.
Errors that occur in survey research design not related to sampling are called nonsampling errors. Most types of nonsampling errors are from four major sources: respondent error, measurement/questionnaire design errors, incorrect problem definition, and project administration errors. Nonsampling errors have several characteristics. First, they tend to create systematic variation or bias in the data. Second, nonsampling errors are controllable. They are the result of some human mishap in either design or survey execution. Third, unlike random sampling error that can be statistically measured, nonsampling errors cannot be directly measured. Finally, one nonsampling error can create other nonsampling errors. That is, one type of error, such as a poorly worded question, causes respondent mistakes. Thus, nonsampling errors reduce the quality of the data being collected and the information being provided to the decision maker.

Business

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