Hostname: page-component-cb9f654ff-p5m67 Total loading time: 0 Render date: 2025-08-23T11:35:20.041Z Has data issue: false hasContentIssue false
  • English
  • Français

Alternative Corrections for Sample Truncation: Applications to the 1988, 1990, and 1992 Senate Election Studies

Published online by Cambridge University Press:  04 January 2017

John Brehm
John Brehm*
Affiliation:
Duke University
Get access Rights & Permissions [Opens in a new window]

Abstract

High levels of nonresponse plague all three waves of the National Election Studies' Senate Studies. Each of the studies failed to elicit interviews from close to one of every two selected sample persons, a rate far worse than the NES regular Pre- and Post-Election Studies. This paper addresses three interdependent problems: Given limited data about the nonrespondents, how can we model the causes of nonresponse? Using these models, how can we adjust our analysis of the Senate Study data to compensate for nonresponse? What difference does nonresponse make for our understanding of the dynamics of Senate elections?

Information

Type
Research Article
Information
Political Analysis , Volume 8 , Issue 2 , 16 December 1999 , pp. 183 - 199
Copyright
Copyright © 1999 by the Society for Political Methodology 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Abramowitz, Alan I., and Segal, Jeffery A. 1990. “Beyond Willie Horton and the Pledge of Allegiance: National Issues in the 1988 Elections.” Legislative Studies Quarterly 15: 565–580.CrossRefGoogle Scholar
Abramowitz, Milton, and Stegun, Irene. 1964. Handbook of Mathematical Functions. New York: Dover.Google Scholar
Achen, Christoper H. 1986. The Statistical Analysis of Quasi-Experiments. Berkeley: University of California Press.CrossRefGoogle Scholar
Benus, Jacob. 1971. “The Problem of Nonresponse in Sample Surveys.” In Working Papers on Survey Research in Poverty Areas, eds. Lansing, John B. et al. Ann Arbor: Institute for Social Research.Google Scholar
Brehm, John. 1989. “How Survey Nonresponse Damages Political Analysis.” Paper presented at the 1989 American Political Science Association Meetings, Atlanta, GA.Google Scholar
Brehm, John. 1993. The Phantom Respondents: Opinion Surveys and Political Representation. Ann Arbor: University of Michigan Press.Google Scholar
Cobb, Sidney, King, Stanley, and Chen, Edith. 1957. “Differences Between Respondents and Nonrespondents in a Morbidity Survey Involving Clinical Examination.” Journal of Chronic Diseases 6(2): 95–108.CrossRefGoogle Scholar
DeMaio, Theresa J. 1980. “Refusals: Who, Where and Why?” Public Opinion Quarterly 44: 223–233.CrossRefGoogle Scholar
Dillman, Donald. 1978. Mail and Telephone Surveys. New York: John Wiley & Sons.Google Scholar
Dohrenwend, Barbara S., and Dohrenwend, Bruce P. 1968. “Sources of Refusals in Surveys.” Public Opinion Quarterly 32: 74–83.CrossRefGoogle Scholar
Dubin, Jeffrey A., and Rivers, Douglas. 1990. “Selection Bias in Linear Regression, Logit and Probit Models.” Sociological Methods and Research 18: 360–390.CrossRefGoogle Scholar
Fay, Robert E. 1986. “Causal Models for Patterns of Nonresponse.” Journal of the American Statistical Association 81: 354–365.CrossRefGoogle Scholar
Goyder, John. 1986. “Surveys on Surveys: Limitations and Potentialities.” Public Opinion Quarterly 50: 27–41.CrossRefGoogle Scholar
Groves, Robert M., and Couper, Mick P. 1998. Nonresponse in Household Interview Surveys. New York: John Wiley & Sons.CrossRefGoogle Scholar
Groves, Robert M. 1990. Survey Errors and Survey Costs. New York: Wiley Interscience.Google Scholar
Groves, Robert M., and Lyberg, Lars E. 1988. “An Overview of Nonresponse Issues in Telephone Surveys.” In Telephone Survey Methodology, eds. Groves, Robert M. et al. New York: John Wiley & Sons.Google Scholar
Hausman, Jerry A., and Wise, David A. 1979. “Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment.” Econometrica 47: 455–473.CrossRefGoogle Scholar
Hawkins, Darnell F. 1975. “Estimation of Nonresponse Bias.” Sociological Methods and Research 3: 461–488.CrossRefGoogle Scholar
Heckman, James J. 1976. “The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models.” Annals of Economic and Social Measurement 5(4): 475–492.Google Scholar
Heckman, James J. 1979. “Sample Selection Bias as a Specification Error.” Econometrica 47: 153–161.CrossRefGoogle Scholar
House, James, and Wolf, Sharon. 1978. “Effects of Urban Residence and Interpersonal Trust and Helping Behavior.” Journal of Personality and Social Psychology 10: 222–226.Google Scholar
Kalton, Graham. 1985. Compensating for Missing Survey Data. Ann Arbor, MI: Survey Research Center.Google Scholar
King, Gary. 1989. Unifying Political Methodology: The Likelihood Theory of Statistical Inference. Cambridge: Cambridge University Press.Google Scholar
King, Gary, Honaker, James, Joseph, Anne, and Scheve, Kenneth. 1998. “Listwise Deletion is Evil: What to Do About Missing Data in Political Science.” Paper presented at the 1998 Annual Meetings of the Political Methodology Society, San Diego, CA.Google Scholar
Little, Roderick J. A. 1982. “Models for Nonresponse in Sample Surveys.” Journal of the American Statistical Association 77: 237–250.CrossRefGoogle Scholar
Maddala, G. S. 1983. Limited Dependent and Qualitative Variables in Econometrics. Cambridge: Cambridge University Press.Google Scholar
Nathan, Gad. 1981. “Regression Analysis Under Differential Nonresponse.” Proceedings of the Section on Survey Research Methods. American Statistical Association, pp. 618–622.Google Scholar
O’Neil, Michael. 1979. “Estimating the Nonresponse Bias Due to Refusals in Telephone Surveys.” Public Opinion Quarterly 43: 218–232.CrossRefGoogle Scholar
Rubin, Donald B. 1987. Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons.CrossRefGoogle Scholar
Smith, Tom W. 1983. “The Hidden 25%: An Analysis of Nonresponse on the 1980 General Social Survey.” Public Opinion Quarterly 47: 386–404.CrossRefGoogle Scholar
Steeh, Charlotte. 1981. “Trends in Nonresponse Rates.” Public Opinion Quarterly 45: 40–57.Google Scholar
Stewart, Charles, and Reynolds, Mark. 1990. “Television Markets and U.S. Senate Elections.” Legislative Studies Quarterly 15: 495–524.Google Scholar
Tobin, James. 1958. “Estimation of Relationships for Limited Dependent Variables.” Econometrica 26: 24–36.CrossRefGoogle Scholar
Weaver, Charles N., Holmes, Sandra L., and Glenn, Norval D. 1973. “Some Characteristics of Inaccessible Respondents in a Telephone Survey.” Journal of Applied Psychology 60(2): 260–262.CrossRefGoogle Scholar
Wright, Gerald C. 1990. “Misreports of Vote Choice in the 1988 NES Senate Study.” Legislative Studies Quarterly 15: 543–564.CrossRefGoogle Scholar
Wright, Gerald C. 1991. “Errors in Measuring Vote Choice in the National Election Studies, 1952–1988.” Paper presented at the 1991 American Political Science Association Meetings, Atlanta GA.Google Scholar