Definition Of Coverage Error
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Coverage and Non-Response November 24, 2011 by Dana Stanley 5 Comments There are 4 generally-accepted types of survey error. By survey error, I mean factors which reduce the accuracy of a survey estimate. It's important to keep each type of survey error in mind
Non Response Error Definition
when designing, executing and interpreting surveys. However, I suspect some of them are more ingrained nonresponse error in our thinking about research, while others are more often neglected. Imagine if we interviewed 100 researchers and asked each of them ("Family sampling error definition Feud"-style) to name a type of survey error. Which type of survey error do you think would be mentioned most frequently? Which type would be most overlooked? Here is my predicted order of finish in our hypothetical example.
Measurement Error Definition
Note for the "Feud"-challenged: Number 1 represents the most commonly named type of error in our hypothetical survey of researchers, while number 4 represents the least commonly named. 1. Sampling Error. My guess is that sampling error would be the most commonly named type of survey error. In a recent Research Access post, "How to Plus or Minus: Understand and Calculate the Margin of Error," I explained the concept of sampling error and gave 3 ways of calculating it.
Definition Of Coverage Gap
Sampling error is essentially the degree to which a survey statistic differs from its "true" value due to the fact that the survey was conducted among only one of many possible survey samples. It is a degree of uncertainty that we are willing to live with. Even most non-researchers have a basic understanding, or at least awareness, of sampling error due to the media's reference to the "margin of error" when reporting public survey results. 2. Measurement Error. I believe measurement error would be the second most frequently named type of error. Measurement error is the degree to which a survey statistic differs from its "true" value due to imperfections in the way the statistic is collected. The most common type of measurement error is one researchers deal with on a daily basis: poor question wording, with faulty assumptions and imperfect scales. 3. Coverage Error. Coverage error is another important source of variability in survey statistics; it is the degree to which statistics are off due to the fact that the sample used does not properly represent the underlying population being measured. There was generally more concern about coverage error in the past; these days, the combination of increasing internet penetration and fast/easy/cheap online survey panels has made it possible to accurately represent many target populations. Concern about coverage error is still an important conversation; however, it
Incomplete sampling frames often result definition of coverage area in coverage errors. Context: Coverage errors are due to divergences between the target population and the frame. http://researchaccess.com/2011/11/4-kinds-of-survey-error-sampling-measurement-coverage-nonresponse/ Coverage errors include over-coverage, under-coverage and misclassification (Eurostat, Quality Glossary).Coverage error is the error in an estimate that results from failure to include specified units in the conduct of a survey (undercoverage), and inclusion of https://stats.oecd.org/glossary/detail.asp?ID=466 some units erroneously either because of a defective frame or because of inclusion of unspecified units or inclusion of specified units more than once in the actual survey (overcoverage). (Statistical Policy Working Paper 15: Quality in Establishment Surveys, Office of Management and Budget, Washington D.C., July 1988, page 44). Source Publication: Statistical Office of the United Nations, "Handbook of Household Surveys, Revised Edition", (para. 8.3), Studies in Methods, Series F, No. 31, United Nations, New York, 1984. Cross References: Coverage Statistical Theme: Quality, statistical Glossary Output Segments: SDMX Created on Tuesday, September 25, 2001 Last updated on Thursday, April 18, 2013
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