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Nonresponse Bias Adjustment in Regression Analysis

Journal of Statistical Theory and Practice, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fushiki, Tadayoshi, Maeda, Tadahiko
openaire   +2 more sources

Nonresponse Bias

Medical Care, 2002
Previous studies of nonresponders have not assessed the effects of nonresponse on the accuracy of clinician behavior measurements. Knowledge of these effects is critical to both research and quality improvement.To evaluate the hypothesis that nonresponders to a survey would not adversely affect the ability to measure rates of preventive services.Four ...
Leif I, Solberg   +4 more
openaire   +2 more sources

Response Rate and Nonresponse Bias in Oncology Survey Studies.

American Journal of Clinical Oncology, 2020
Introduction Survey-based research is now common in medical, radiation, and surgical oncology. Two major determinants of quality in a survey study are the response rate and nonresponse bias (NRB).1 However, prominent oncology journals routinely publish ...
A. Parekh, J. Bates, R. Amdur
semanticscholar   +1 more source

Evaluating Nonresponse Bias in Survey Research Conducted in the Rural Midwest

, 2020
An understanding of private landowner’s perceptions can guide decisions about conservation in rural landscapes. However, mailed surveys that evaluate landowner views are increasingly plagued by falling response rates and nonresponse bias.
Jaime J. Coon   +3 more
semanticscholar   +1 more source

Responsive and Adaptive Survey Design: Use of Bias Propensity During Data Collection to Reduce Nonresponse Bias

Journal of Survey Statistics and Methodology, 2020
Reduction in nonresponse bias has been a key focus in responsive and adaptive survey designs, through multiple phases of data collection, each defined by a different protocol, and targeting interventions to a subset of sample elements.
Andy Peytchev   +2 more
semanticscholar   +1 more source

Testing for Nonresponse Bias

Evaluation Review, 1984
This article discusses two recent evaluations of utility energy conservation programs in which testsfor nonresponse bias were possible. In these evaluations, data were obtained both from the sponsoring utilities (fuel consumption records, energy audit reports) and from households (mail and telephone surveys).
Eric Hirst, Richard Goeltz
openaire   +1 more source

Addressing Nonresponse Bias in Postal Surveys

Public Health Nursing, 2008
ABSTRACT Postal surveys are sometimes thought of as a simple option for collecting data in community‐based studies; however, nurse researchers must exercise care in appropriately addressing the issue of nonresponse. In particular, both the reporters and the users of such research should look beyond survey response rates when considering ...
Shannon E, MacDonald   +3 more
openaire   +2 more sources

Response Rates and Nonresponse Bias Among 20 Years of Pediatrician Surveys.

Academic pediatrics
OBJECTIVES Our objectives were to examine the following: physician survey response rates across a twenty-year period; the impact of a token incentive on response rates; whether survey nonresponse bias is present and if it is associated with response rate;
William H Burr   +5 more
semanticscholar   +1 more source

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. The sample of divorced resident and nonresident parents was
NORA CATE SCHAEFFER   +2 more
openaire   +1 more source

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   +6 more
openaire   +1 more source

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