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Sample selection bias with multiple dependent selection rules: an application to survey data analysis with multilevel nonresponse [PDF]
Swiss Journal of Economics and Statistics, 2022 The microdata of surveys are valuable resources for analyzing and modeling relationships between variables of interest. These microdata are often incomplete because of nonresponses in surveys and, if not considered, may lead to model misspecification and
Alireza Rezaee +2 more
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Can nonresponse bias and known methodological differences explain the large discrepancies in the reported prevalence rate of violence found in Swedish studies? [PDF]
PLoS One, 2019 Introduction The reported prevalence rate of violence varies considerably between studies, even when conducted in similar populations. The reasons for this are largely unknown.
Simmons J, Swahnberg K.
europepmc +2 more sources
Assessing nonresponse bias in a 30-year study of gulf war and gulf era veterans [PDF]
BMC Medical Research MethodologyBackground Cohort studies of veterans are critical for understanding the long-term health effects of deployment and toxic exposures. However, longitudinal research is susceptible to attrition and potential nonresponse bias. The Gulf War Era Cohort Study (
Joseph Gasper +8 more
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Nonselection and nonresponse bias in clinical research [PDF]
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 ...
James K. Roush
openaire +3 more sources
Nonresponse rates are a problematic indicator of nonresponse bias in survey research. [PDF]
Health Serv Res, 2013 Survey researchers are rightly concerned with measuring the level of potential bias in estimates generated from the surveys.2 Bias in estimates can result from measurement error, processing/editing error, coverage error, and nonresponse error (Federal Committee on Statistical Methodology [FCSM] 2001).
Davern M.
europepmc +4 more sources
Assessing nonresponse bias at follow-up in a large prospective cohort of relatively young and mobile military service members [PDF]
BMC Medical Research Methodology, 2010 Background Nonresponse bias in a longitudinal study could affect the magnitude and direction of measures of association. We identified sociodemographic, behavioral, military, and health-related predictors of response to the first follow-up questionnaire ...
Hooper Tomoko +9 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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Using sociometric measures to assess nonresponse bias. [PDF]
Ann Epidemiol, 2014 Much attention has been given to the potential nonresponse bias that occurs in epidemiologic studies that attempt to enroll a representative sample. Most analyses surrounding nonrespondents focus on individual-level attributes and how they vary across respondents and nonrespondents.
Livak B, Schneider JA.
europepmc +4 more sources
Reduction of Nonresponse Bias through Case Prioritization
Survey Research Methods, 2010 How response rates are increased can determine the remaining nonresponse bias in estimates. Studies often target sample members that are most likely to be interviewed to maximize response rates.
Andy Peytchev +4 more
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Large-scale Assessments in Education, 2017 Survey participation rates can have a direct impact on the validity of the data collected since nonresponse always holds the risk of bias. Therefore, the International Association for the Evaluation of Educational Achievement (IEA) has set very high ...
Sabine Meinck +2 more
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