Advertisement

Research in Higher Education

, Volume 5, Issue 2, pp 179–191 | Cite as

Determining validity and identifying nonresponse bias in a survey requesting income data

  • Jon S. Hesseldenz
Article

Abstract

Two procedures for validating incomes self-reported in ranges by University of Kentucky doctoral graduates, one comparing grouped data to income data collected by the National Academy of Sciences (1974) for the same year, 1973, the other comparing individual self-report data in a double-blind process to state income tax records, indicating that the self-report data were generally accurate. A check of respondents versus nonrespondents in various categories (sex, age, graduation year, Holland type, Biglan type) showed no difference in the proportion of response in any category. Comparison of nonrespondent income with respondent income in state income tax records revealed that nonrespondents averaged almost $3,500.00 less income during that year than did respondents. This finding held true across all categories but two.

Key words

nonresponse bias doctoral income validity procedures mail surveys follow-up procedures 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Biglan, A. (1973a). The characteristics of subject matter in different academic areas. Journal of Applied Psychology 57(3): 195–203.Google Scholar
  2. Biglan, A. (1973b). Relationships between subject matter characteristics and the structure and output of university departments. Journal of Applied Psychology 57(3):204–213.Google Scholar
  3. Cogan, R., and Klopper, F. (1975). The delivery of childbirth reports: An analysis of sample bias in questionnaire returns. Journal of Psychosomatic Research 19(1):39–42.Google Scholar
  4. Deming, W. E. (1950). “Some Theory of Sampling.” New York: Wiley.Google Scholar
  5. Deming, W. E. (1960). “Sample Design in Business Research.” New York: Wiley.Google Scholar
  6. Fuller, C. H. (1974a). Weighting to adjust for survey nonresponse. Public Opinion Quarterly 38(2):239–246.Google Scholar
  7. Fuller, C. H. (1974b). Effect of anonymity on return rate and response bias in a mail survey. Journal of Applied Psychology 59(3):292–296.Google Scholar
  8. Hesseldenz, J. S., and Smith, B. G. (1975). Follow-up study of University of Kentucky doctoral graduates, 1930–1972. (Unpublished manuscript.)Google Scholar
  9. Holland, J. L. (1973). “Making Vocational Choices: A Theory of Careers.” Englewood Cliffs, N.J.: Prentice Hall.Google Scholar
  10. Macek, A. J., and Miles, G. H. (1975). IQ score and mailed questionnaire response. Journal of Applied Psychology 60(2):258–259.Google Scholar
  11. Mandell, L. (1974). When to weight: Determining nonresponse bias in survey data. Public Opinion Quarterly 38(2):247–252.Google Scholar
  12. National Academy of Sciences, Commission on Human Resources (1974). Doctoral scientists and engineers in the U.S. — 1973 profile. ERIC 089 646.Google Scholar
  13. Weaver, C. N., Holmes, S. L., and Glenn, N. D. (1975). Some characteristics of inaccessible respondents in a telephone survey. Journal of Applied Psychology 60(2):260–262.Google Scholar

Copyright information

© APS Publications, Inc. 1976

Authors and Affiliations

  • Jon S. Hesseldenz
    • 1
  1. 1.University of KentuckyLexington

Personalised recommendations