Estimating Nonresponse Bias in Mail Surveys

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Estimating Nonresponse Bias in Mail Surveys

Author Info

JS Armstrong (The Wharton School)
Terry Overton (Marketing Scientist Merck Sharp & Dohme)

Additional information is available for the following registered author(s):

J. Scott Armstrong

Abstract

Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies. For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using extrapolations.

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Paper provided by EconWPA in its series General Economics and Teaching with number 0502044.

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Length: 11 pages
Date of creation: 11 Feb 2005
Date of revision:
Handle: RePEc:wpa:wuwpgt:0502044

Note: Type of Document - pdf; pages: 11
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A - General Economics and Teaching

This paper has been announced in the following NEP Reports:

NEP-ALL-2005-04-16 (All new papers)

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