validity of survey responses
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validity of survey responses insights from interviews of multiple respondents in a household in a survey of Soviet emigrants by Anderson, Barbara A.

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Published by University of Illinois at Urbana-Champaign in [Urbana, Ill.] .
Written in English


  • Surveys,
  • Soviet Union -- Social conditions -- Study and teaching

Book details:

Edition Notes

StatementBarbara A. Anderson and Brian D. Silver.
SeriesWorking paper / Soviet Interview Project -- #14, Working paper (Soviet Interview Project) -- #14
ContributionsSilver, Brian D., 1944-, Soviet Interview Project.
LC ClassificationsHN524 A53 1986
The Physical Object
Pagination27 p. --
Number of Pages27
ID Numbers
Open LibraryOL16431839M

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  Survey Response: Validity The book Survey Responses: An Evaluation of Their Validity by E. J. Wentland and K. Smith (Academic Press), includes studies reporting accuracy of answers to questions from surveys.A study by Locander et al. considered the question “Are you a registered voter?” Accuracy of response was confirmed by a check of city voting records. Validity is important because it determines what survey questions to use, and helps ensure that researchers are using questions that truly measure the issues of importance. The validity of a survey is considered to be the degree to which it measures what it claims to measure. Validity is measuring what you purport to be measuring, therefore this step validates what your survey is really measuring. Finally, questions loading onto the same factors can be aggregated (i.e., combined) and compared during the final data analysis phase. In technical terms, the question of how many responses you need for your survey to be valid goes straight to the concept of survey sample size (read all about it by following that link). For now, you’re OK knowing that there’s a certain number of survey respondents you need to ensure that your survey is big enough to be reliable or ‘statistically significant.’.

  It is helpful to the reader when authors describe the contents of the survey questionnaire so that the reader can interpret and evaluate the potential for errors of validity (e.g., items or instruments that do not measure what they are intended to measure) and reliability (e.g., items or instruments that do not measure a construct consistently).   Validity. Validity is defined as the extent to which a concept is accurately measured in a quantitative study. For example, a survey designed to explore depression but which actually measures anxiety would not be considered valid. The second measure of quality in a quantitative study is reliability, or the accuracy of an other words, the extent to which a research instrument Cited by: Research validity in surveys relates to the extent at which the survey measures right elements that need to be measured. In simple terms, validity refers to how well an instrument as measures what it is intended to measure. Reliability alone is not enough, measures need to be reliable, as well as, valid. For example, if a weight measuring scale. Introduction -- Ch. 2. Accuracy Levels in Surveys: Factors Affecting Response Accuracy -- Introduction -- Ch. 3. Reports on Comparatively Nonthreatening Topics -- Ch. 4. Reports on Sensitive Topics -- Ch. 5. Reports on Financial Questions -- Ch. 6. Accuracy Levels in Surveys: Factors Affecting Response Accuracy -- Discussion and Conclusions -- Ch. 7.

At present, the credibility of survey research findings is largely a function of response rate. Low return rates are presumed to suggest biases in data. This paper demonstrates that when surveys are made of homogeneous populations (persons having some strong group identity) concerning their attitudes, opinions, perspectives, etc., toward issues Cited by: As a very rough rule of thumb, responses will provide fairly good survey accuracy under most assumptions and parameters of a survey project. responses are probably needed even for marginally acceptable accuracy. Everyone conducting a survey is concerned about response rates and the accuracy for their survey results.   Validity refers to how accurately a method measures what it is intended to measure. If research has high validity, that means it produces results that correspond to real properties, characteristics, and variations in the physical or social world. High reliability is one indicator that a measurement is valid.   A low response rate can give rise to sampling bias if the nonresponse is unequal among the participants regarding the outcome. For example: If you select a sample of managers in a field and ask them about their workload, the managers with a high workload may not answer the survey because they do not have enough time to answer it, and/or those with a low workload may decline to .