Using variation in response rates of demographic subgroups as evidence of nonresponse bias in survey estimates

Journal of Official Statistics

Volumn 25, Issue 2, 2009, Pages 193-201

  Peytcheva, Emilia ^a   Groves, Robert M ^b  

^a RTI INTERNATIONAL   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Demographic statistics; Nonresponse rate; Substantive statistics

Indexed keywords

EID: 77950771940     PISSN: 0282423X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. AAPOR (2006). Standard Definitions: Final Disposition Codes and Outcome Rates for Surveys, (4th ed.). Lenexa, KS: AAPOR.
2. Alreck, P. and Settle, R. (1995). The Survey Research Handbook. New York: McGrawHill, 184.
3. Babbie, E. (1990). Survey Research Methods, (2nd ed.). Belmont, CA: Wadsworth.
4. Barclay, S., Todd, C., Finlay, I., Grande, G., and Wyatt, P. (2002). Not Another Questionnaire! Maximizing the Response Rate, Predicting Nonresponse and Assessing Nonresponse Bias in Postal Questionnaire Studies of GPs. Family Practice, 19, 105-111.
5. Bethlehem, J. (2002). Weighting Nonresponse Adjustments Based on Auxiliary Information. In Survey Nonresponse, R. Groves, D. Dillman, J. Eltinge, and R. Little (eds). New York: Wiley, Chapter 18, 275-288.
6. Brick, J.M., Le, T., and West, J. (2003). Dealing with Movers in a Longitudinal Study of Children. Proceedings of Statistics Canada Symposium 2003. Ottawa: Statistics Canada, 2-12.
7. Groves, R. (2006). Research Synthesis: Nonresponse Rates and Nonresponse Error in Household Surveys. Public Opinion Quarterly, 70, 646-675.
8. Groves, R. and Peytcheva, E. (2008). The Impact of Nonresponse Rates on Nonresponse Bias. Public Opinion Quarterly, 72, 167-189.
9. Hartge, P. (1999). Raising Response Rates: Getting to Yes. Epidemiology, 10, 105-107. Little, R.J. (1982). Models for Nonresponse in Sample Surveys. Journal of the American Statistical Association, 77, 237-250.
10. Little, R.J., Lewitsky, S., Heeringa, S., Lepkowski, J., and Kessler, R. (1997). Assessment of Weighting Methodology for the National Comorbidity Survey. American Journal of Epidemiology, 146, 439-449. (Pubitemid 27377521)
11. Little, R.J. and Rubin, D. (2002). Statistical Analysis with Missing Data, (2nd ed.). New York: Wiley.
12. Little, R.J. and Vartivarian, S. (2003). On Weighting the Rates in Non-Response Weights. Statistics in Medicine, 22, 1589-1599. (Pubitemid 36575602)
13. Little, R.J. and Vartivarian, S. (2005). Does Weighting for Nonresponse Increase the Variance of Survey Means? Survey Methodology, 31, 161-168.
14. Schouten, B. and Cobben, F. (2007). R-indexes for the Comparison of Different Fieldwork Strategies and Data Collection Modes. Discussion Paper 07002, Statistics Netherlands, Voorburg/Heerlen (www.cbs.nl/nl-NL/menu/methoden/ research/discussionpapers/ archief/2007/2007-02-x10-pub.htm).
15. Van Goor, H. and Stuiver, B. (1989). Can Weighting Compensate for Nonresponse Bias in a Dependent Variable? An Evaluation of Weighting Methods to Correct for Substantive Bias in a Mail Survey Among Dutch Municipalities. Social Science Research, 27, 481-499.