Nonsampling error /
All surveys are susceptible to two broad classes of errors - sampling error and nonsampling error - both of which can result in false or biased information. Sampling, or random, error refers to the amount by which the selected sample finding deviates from data that would have been obtained if the en...
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd.,
2020.
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| Series: | Survey methods.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | All surveys are susceptible to two broad classes of errors - sampling error and nonsampling error - both of which can result in false or biased information. Sampling, or random, error refers to the amount by which the selected sample finding deviates from data that would have been obtained if the entire population were surveyed. Nonsampling error is all the other errors that might confound the survey results. Together, the two types constitute total survey error. Because either class of error can significantly reduce the usefulness of the results of a survey, both sampling and nonsampling errors must be controlled. This entry focuses on nonsampling error, of which much less is known. |
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| Physical Description: | 1 online resource : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781529747881 1529747880 9781526421036 1526421038 |