Public Opinion Quarterly 40:360-369 (1976)
© 1976 American Association for Public Opinion Research
Nonresponse Effects on Relationships Between Variables
Willis J. Goudy is an Associate Professor in the Department of Sociology and Anthropology, Iowa State University, Ames, Iowa. Journal Paper No. J-8362 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project No. 2010. This investigation was supported in part through grant number 10-P-57495/7-01 from the Social Security Administration, Washington, D. C. The author wishes to thank Richard D. Warren and Charles L. Mulford for their helpful comments on an earlier draft of this article.
To examine nonresponse effects on variable relationships, data from a panel study of 1,870 older Iowa residents are reported. When data are accumulated by wave of response, differences are minor on variable distributions (percentage, mean, standard deviation), bivariate relationships (correlation), and multivariate relationships (regression), suggesting that the assumed impact of nonresponse bias on variable relationships has been overstated.
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