Results 271 to 280 of about 1,370,981 (324)

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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Reducing Item-Specific Nonresponse Bias

The Journal of Experimental Education, 1978
This article describes a method of dealing with partially-responded-to questionnaires in survey research which utilizes nonparametric Bayesian discriminant analysis to predict missing responses based on “profiles” of the partial and the “complete” respondents. Some background of nonresponse bias in survey research is discussed, and two other methods of
Norval F. Pohl, Albert V. Bruno
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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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An estimation method to reduce complete and partial nonresponse bias in forest inventory

European Journal of Forest Research, 2022
J. Westfall
semanticscholar   +1 more source

Cultural Values and Potential Nonresponse Bias

Organizational Research Methods, 2007
Using data from a prior survey of managers in 20 European countries, the authors conducted multilevel analyses to illustrate the value of examining relationships of both individual characteristics and country characteristics to likelihood of responding. Consistent with inferences about likely salience of the survey topic, they found that likelihood of
Karen S. Lyness, Marcia Brumit Kropf
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Adjusting for Nonresponse Bias Using Logistic Regression

Biometrika, 1990
SUMMARY A method of adjustment for nonresponse is considered. No information about the nonrespondents is required, but the respondents are assumed to answer all questions of interest. One or more call-backs are assumed. The probabilities of response are represented by a logistic regression model, in which variables in the survey are explanatory ...
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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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Nonresponse Bias in a Mail Survey of Physicians

Evaluation & the Health Professions, 2007
With the increased pressure on survey researchers to achieve high response rates, it is critical to explore issues related to nonresponse. In this study, the authors examined the effects of nonresponse bias in a mail survey of physicians ( N = 3,400). Because slightly more than one half of the sample did not respond to the survey, there was potential ...
Emily, McFarlane, Murrey G, Olmsted, Joe, Murphy, Craig A, Hill   +3 more
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Survey Participation, Nonresponse Bias, Measurement Error Bias, and Total Bias

Public Opinion Quarterly, 2006
A common hypothesis about practices to reduce survey nonresponse is that those persons brought into the respondent pool through persuasive efforts may provide data filled with measurement error. Two questions flow from this hypothesis. First, does the mean square error of a statistic increase when sample persons who are less likely to be contacted or ...
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Estimating Nonresponse Bias with Temporary Refusals

Sociological Perspectives, 1984
The accuracy of survey results are always endangered by the presence of nonresponse bias. Although we have a precise measure of the extent of nonresponse, we seldom have any information on how the nonrespondents differ from the respondents. In this article we attempt to estimate the characteristics of nonrespondents and thereby estimate nonresponse ...
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