Survey mode and nonresponse bias: A meta-analysis based on the data from the international social survey programme waves 1996-2018 and the European social survey rounds 1 to 9. [PDF]
PLoS ONE, 2023 The constant increase in survey nonresponse and fieldwork costs are the reality of survey research. Together with other unpredictable events occurring in the world today, this increase poses a challenge: the necessity to accelerate a switch from face-to ...
Adam Rybak
doaj +2 more sources
Attenuating the nonresponse bias in hunting bag surveys: The multiphase sampling strategy. [PDF]
PLoS ONE, 2019 Reliable hunting bag statistics are a prerequisite for sustainable harvest management based on quantitative modeling. Estimating the total hunting bag for a given game species is faced with a multiplicity of error sources.
Philippe Aubry, Matthieu Guillemain
doaj +2 more sources
National Pharmacist Workforce Study (NPWS): Description of 2019 Survey Methods and Assessment of Nonresponse Bias [PDF]
Pharmacy, 2021 National Pharmacist Workforce Studies (NPWS) have been conducted in the U.S. every five years since 2000. This article describes the online survey methods used for the latest NPWS conducted in 2019 and provides an assessment for nonresponse bias.
Matthew J. Witry +7 more
doaj +2 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 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
doaj +2 more sources
Estimation of Nonresponse Bias [PDF]
Sociological Methods & Research, 1975 An imputation procedure is used to estimate the effects of nonresponse on issues of substantive interest in a social survey. Using this method, one can determine that nonresponse bias may have differential effects on variable means, depending on the combination of independent variables used in the ensuing substantive analysis of data from the survey.
Hawkins, Darnell
openaire +3 more sources
Anchoring bias and covariate nonresponse [PDF]
SSRN Electronic Journal, 2003 Non-random item nonresponse makes identification of parameters problematic. Such nonresponse can occur with respect to both dependent and conditioning variables. A method often used to reduce nonresponse is that of adding unfolding brackets as follow up to open-ended questions.
R. Vazquez-Alvarez, Christoph Boner
core +5 more sources
A Comparison of Alternative Indicators for the Risk of Nonresponse Bias. [PDF]
Public Opin Q, 2012 The response rate has played a key role in measuring the risk of nonresponse bias. However, recent empirical evidence has called into question the utility of the response rate for predicting nonresponse bias. The search for alternatives to the response rate has begun.
Wagner J.
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
doaj +3 more sources
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