Results 51 to 60 of about 867,801 (195)
BMC Medical Research Methodology, 2007 Background Low response and reporting errors are major concerns for survey epidemiologists. However, while nonresponse is commonly investigated, the effects of misclassification are often ignored, possibly because they are hard to quantify.
Rona Roberto +6 more
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Estimating Nonresponse Bias in Mail Surveys [PDF]
, 1977 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.
Armstrong, J. Scott +4 more
core
The Use of Respondent Incentives in PIAAC: The Field Test Experiment in Germany
Methoden, Daten, Analysen, 2014 In PIAAC, each participating country was required to attain a response rate of at least 50%, as long as evidence was provided that there was either no or only low nonresponse bias in the data. Achieving 50% is a challenge for face-to-face surveys in most
Silke Martin +2 more
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Forest Ecosystems, 2023 Estimating amounts of change in forest resources over time is a key function of most national forest inventories (NFI). As this information is used broadly for many management and policy purposes, it is imperative that accurate estimations are made from ...
James A. Westfall, Mark D. Nelson
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New Trends in Computer SciencesNonresponse is one of the main sources of nonsampling error affecting the accuracy of survey estimates, particularly in business surveys characterized by highly asymmetric data distributions.
Vilma Nekrašaitė-Liegė +1 more
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Complexity, 2023 In this article, we estimate the finite population variance in random nonresponse using simple random sampling, which may be helpful for data analysis in applied and environmental sciences.
Sapna Javed, Saadia Masood, Ali Shokri
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Nonresponse bias in public leadership research: An empirical assessment
International Public Management Journal, 2021 Self-reported measures of leadership are widely used in public management research, but nonresponse bias poses a threat to the validity of these data. Although this measurement problem is acknowledged, it has received limited empirical attention because nonresponse bias is inherently challenging to study.
Dominik Vogel, Christian B. Jacobsen
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Modelling attrition and nonparticipation in a longitudinal study of prostate cancer
BMC Medical Research Methodology, 2018 Background Attrition occurs when a participant fails to respond to one or more study waves. The accumulation of attrition over several waves can lower the sample size and power and create a final sample that could differ in characteristics than those who
Samantha Spiers +6 more
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Estimation of an indicator of the representativeness of survey response
, 2009 Nonresponse is a major source of estimation error in sample surveys. The response rate is widely used to measure the quality of a sample survey associated with nonresponse.
Shlomo, Natalie +2 more
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On the impact of nonresponse in logistic regression: application to the 45 and Up study
BMC Medical Research Methodology, 2017 Background In longitudinal studies, nonresponse to follow-up surveys poses a major threat to validity, interpretability and generalisation of results. The problem of nonresponse is further complicated by the possibility that nonresponse may depend on the
Joanna J. J. Wang +2 more
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