Respondent non-cooperation in surveys and diaries: An analysis of item non-response and panel attrition

International Journal of Market Research

Volumn 46, Issue 3, 2004, Pages

  Lee, Eunkyu ^a   Hu, Michael Y ^b   Toh, Rex S ^c  

^a SYRACUSE UNIVERSITY   (United States)

^b KENT STATE UNIVERSITY   (United States)

^c SEATTLE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3342978848     PISSN: 14707853     EISSN: None     Source Type: Journal    
DOI: 10.1177/147078530404600306     Document Type: Article

References (35)

1. Aneshenshel, C.S., Becerra, R.M., Fiedler, E.P. & Schuler, R.H. (1989) Participation of Mexican American female adolescents in a longitudinal panel study. Public Opinion Quarterly, 53, pp. 548-562.
2. Buck, S. (1989) Single source data - the theory and the practice. Journal of the Market Research Society, 31, 4, pp. 489-500.
3. Buck, S. & Yates, A. (1986) Television viewing, consumer purchasing, and single source research. Journal of the Market Research Society, 28, 3, pp. 225-233.
4. Bucklin, L.P. & Carman, J.M. (1967) The Design of Consumer Research Panel: Conception and Administration of the Berkeley Food Panel. Berkeley, CA: Institute of Business and Economic Research, University of California.
5. Craig, C.S. & McCann, J.M. (1978) Item non-response in mail surveys: extent and correlate. Journal of Marketing, 15, pp. 285-287.
6. Criqui, M.H. (1979) Response bias and risk rations in epidemiological studies. American Journal of Epidemiology, 109, pp. 394-399.
7. Douglas, S. & Shoemaker, R. (1981) Item non-response in a cross-national attitude survey. European Research, July, pp. 124-132.
8. Durand, M.R., Guffey Jr, H.J. & Planchon, J.M. (1983) An examination of the random versus non-random nature of item omissions. Journal of Marketing Research, 20, pp. 305-313.
9. Durand, M.R. & Lambert, Z.V. (1988) Don't know responses in surveys: analyses and interpretational consequences. Journal of Business Research, 11, pp. 169-188.
10. Falaris, E.M. & Peters, H.E. (1998) Survey attrition and schooling choices. Journal of Human Resources, 33, pp. 31-54.
11. Ferber, R. (1966) The Reliability of Consumer Reports of Financial Assets and Debts. Urbana, IL: Bureau of Economic and Business Research, University of Illinois.
12. Fitzgerald, J., Gottschalk, P. & Moffitt, R. (1998) An analysis of sample attrition in panel data: the Michigan panel study of income dynamics. Journal of Human Resources, 33, pp. 251-299.
13. Francis, J.D. & Busch, L. (1975) What we now know about, 'I don't knows'. Public Opinion Quarterly, 39, pp. 207-218.
14. Goudy, W.J. (1977) Non-response Effects: Studies of the Failure of Potential Respondents to Reply to Survey Instruments. Monticello: Council of Planning Librarians.
15. Greenland, S. (1977) Response and follow-up bias in cohort studies. American Journal of Epidemiology, 106, pp. 184-187.
16. Gronhaug, K., Gilly, M.C. & Enis, B.M. (1988) Exploring income non-response: a logit model analysis. Journal of the Marketing Research Society, 30, pp. 371-377.
17. Hanusek, E. & Jackson, J. (1977) Statistical Methods for the Social Sciences. New York: Academic Press.
18. Houston, M.J. & Ford, N.M. (1976) Reconsidering the scope of methodological research in mail survey. Journal of Marketing Research, 13, pp. 397-403.
19. Hu, M.Y., Toh, R.S. & Lee, E. (1996) Impact of the level of aggregation on response accuracy in surveys of behavioral frequency. Marketing Letters, 7, pp. 371-382.
20. Hu, M.Y., Toh, R.S. & Lee, E. (2000) Survey accuracy as a function of usage rate. Marketing Letters, 11, pp. 335-348.
21. Kupek, E. (1988) Determinants of item non-response in a large national sex survey. Archives of Sexual Behavior, 27, pp. 581-594.
22. Lee, E., Hu, M.Y. & Toh, R.S. (2000) Are consumer survey results distorted? Systematic impact of behavioral frequency and duration on survey response errors. Journal of Marketing Research, 37, pp. 125-133.
23. McKenzie, J. (1983) The accuracy of telephone calls collected by diary methods. Journal of Marketing Research, 20, pp. 417-427.
24. Neter, J. (1970) Measurement errors in reports of consumer expenditures. Journal of Marketing Research, 7, pp. 11-25.
25. Norris, F.H. (1987) Effects of attrition on relationships between variables in surveys of older adults. Journal of Gerontology, 42, pp. 97-605.
26. Snow, D.L, Tebes, J.K. & Arthur, M.W. (1992) Panel attrition and external validity in adolescent substance use research. Journal of Consulting and Clinical Psychology, 60, pp. 804-807.
27. Sobol, M.G. (1959) Panel mortality and panel bias. American Statistical Association Journal, 54, pp. 52-68.
28. Sussman, M.B. (1964) Use of the longitudinal design in studies of long-term illness. Some advantages and limitations. Gerontologist, 4, pp. 25-29.
29. Toh, R.S. & Hu, M.Y. (1996) Natural mortality and participation fatigue as potential biases in diary panels: impact of some demographic factors and behavioral characteristics on systematic attrition. Journal of Business Research, 35, pp. 129-138.
30. Wheat, R. & Morrison, D.G. (1990) Estimating purchase regularity with two interpurchase times. Journal of Marketing Research, 27, pp. 87-93.
31. Winefield, A.H., Winefield, H.R. & Tiggerman, M. (1990) Sample attrition bias in a longitudinal study of young people. Australian Journal of Psychology, 42, pp. 75-85.
32. Winer, R. (1983) Attrition bias in econometric models estimated with panel data. Journal of Marketing Research, 20, pp. 177-186.
33. Woolsen, R., Clarke, W. & Leeper, J. (1992) Missing data in longitudinal studies. In J.H. Dwayer, M. Feinlieb, P. Lippert & H. Hoffmeister (eds) Statistical Models for Longitudinal Studies of Health. Oxford: Oxford University Press, pp. 277-300.
34. Zabel, J.E. (1998) An analysis of attrition in the panel study of income dynamics and the survey of income and program participation with an application to a model of labor market behavior. Journal of Human Resources, 33, pp. 479-506.
35. Ziliak, J.P. & Kniesner, T.J. (1998) The importance of sample attrition in life-cycle labor supply estimation. Journal of Human Resources, 33, pp. 507-530.