Results 261 to 270 of about 22,854 (294)

A “Replacement” Procedure for Reducing the Bias of Nonresponse

The American Statistician, 1959
Abstract The effects of nonresponse can be reduced by simulating an increase in the number of recalls. The procedure consists in adding to the addresses of current surveys the nonresponse addresses from similar recent surveys.
Leslie Kish, Irene Hess
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Nonresponse Bias for Attitude Questions

Public Opinion Quarterly, 1981
IN SAMPLE SURVEYS conducted by probability methods, from 20 to 30 percent of the designated sample typically are either never contacted or, once contacted, never interviewed. This raises a series of questions about the nature and magnitude of nonresponse bias. The National Opinion Research Center (NORC) was commissioned by the U. S.
Arthur L. Stinchcombe, Calvin Jones, Paul Sheatsley   +2 more
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Estimating Nonresponse and Response Bias

Sociological Methods & Research, 1991
Although researchers are aware that nonresponse and response bias may compromise the accuracy of estimates from survey data, it is difficult to obtain estimates of these biases. In this article, we estimate nonresponse and response bias for a particular case—child support awards and payments.
NORA CATE SCHAEFFER, JUDITH A. SELTZER, MARIEKA KLAWITTER   +2 more
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Experiments in Producing Nonresponse Bias

Public Opinion Quarterly, 2006
While nonresponse rates in household surveys are increasing in most industrialized nations, the increasing rates do not always produce nonresponse bias in survey estimates. The linkage between nonresponse rates and nonresponse bias arises from the presence of a covariance between response propensity and the survey variables of interest.
Robert M. Groves, Mick P. Couper, Stanley Presser, Eleanor Singer, Roger Tourangeau, Giorgina Piani Acosta, Lindsay Nelson   +6 more
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Nonselection and nonresponse bias in clinical research

Journal of the American Veterinary Medical Association, 1998
In summary, nonselection and nonresponse bias can have a potent impact on the validity of clinical veterinary research studies and should be carefully assessed by investigators and readers. The risk of nonselection and nonresponse bias has been compared to "lowering yourself into a dark pit and trusting you won't be bitten by a snake ...
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Nonresponse Bias in Sample Surveys

New Directions for Institutional Research, 2019
AbstractNonresponse is an increasing problem in sample surveys and student surveys are no exception. When nonrespondents differ from respondents in meaningful ways, respondents may not be representative of the population. Hence, analyses of survey data may be biased and not generalizable to the population.
Satkartar K. Kinney, Darryl A. Cooney
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Health Benefits Offer Rates: Is There a Nonresponse Bias?

Health Services Research, 2005
Objective. To determine whether a nonresponse bias exists in the offer rate for health benefits in firms with fewer than 50 workers and to present a simple adjustment to correct for observed bias.Data Sources. The 2003 Employer Health Benefits Survey (EHBS) conducted by the Kaiser Family Foundation and Health Research and Educational Trust, and a ...
Jeremy D, Pickreign, Jon R, Gabel
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Nonresponse bias in trust surveys

2023
Social trust is typically measured using surveys that ask people if they agree that most people can be trusted. A potential problem is that falling response rates plague these surveys. If nonresponses are systematic, comparisons of social trust over time will be biased.
Bergh, Andreas, Bjørnskov, Christian, Öhrvall, Richard   +2 more
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Nonresponse Bias in Student Evaluations of Teaching

Marketing Education Review, 2016
Response rates in student evaluations of teaching (SET) surveys are often low, especially when conducted online. These lower response rates raise the question of nonresponse bias. This article examines a data set comprising student evaluations of 6,754 business courses occurring over an 11-year period to investigate whether response rate is related to ...
Donald R. Bacon, Carol J. Johnson, Kim A. Stewart   +2 more
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Using longitudinal data to estimate nonresponse bias

Social Psychiatry and Psychiatric Epidemiology, 1991
In a recent survey of depressive symptoms among former prisoners of war, longitudinal data were used to estimate nonresponse bias. A predictive model was fitted to the data of current respondents and then was used to predict the scores of nonrespondents who had earlier provided similar convariate data.
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