Coverage Error
Coverage error is a bias in a statistic that occurs when the target population does not coincide with the population actually sampled. The source of the coverage error may be an inadequate sampling frame or flaws in the implementation of the data collection. Coverage error results because of undercoverage and overcoverage. Undercoverage occurs when members of the target population are excluded. Overcoverage occurs when units are included erroneously. The net coverage error is the difference between the undercoverage and the overcoverage.
Both undercoverage and overcoverage are biases and therefore may distort inferences based on descriptive or analytical statistics. Weaknesses in the sampling frame or the survey implementation create coverage error by compromising the random selection and thus how representative of the ...
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Reader's Guide
Ethical Issues In Survey Research
Measurement - Interviewer
Measurement - Mode
Measurement - Questionnaire
Measurement - Respondent
Measurement - Miscellaneous
Nonresponse - Item-Level
Nonresponse - Outcome Codes And Rates
Nonresponse - Unit-Level
Operations - General
Operations - In-Person Surveys
Operations - Interviewer-Administered Surveys
Operations - Mall Surveys
Operations - Telephone Surveys
Political And Election Polling
Public Opinion
Sampling, Coverage, And Weighting
Survey Industry
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Research Methods