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Nonresponse Bias (Version 1.1) [PDF]
Nonresponse ist eine Fehlerquelle in Umfragen. Im vorliegenden Beitrag wird das Konzept des Nonresponse bias erläutert und der Zusammenhang zwischen Response rate und Nonresponse bias diskutiert. Verschiedene Methoden zur Bestimmung von Nonresponse bias werden vorgestellt und es wird erörtert, wie dem Problem des Nonresponse bias bei der Datenerhebung ...
Koch, Achim, Blohm, Michael
openaire +3 more sources
A Procedure to Assess Interviewer Effects on Nonresponse Bias
It is generally accepted that interviewers have a considerable effect on survey response. The difference between response success and failure does not only affect the response rate, but can also influence the composition of the realized sample or ...
Geert Loosveldt, Koen Beullens
doaj +3 more sources
Alternative Approaches to Assessing Nonresponse Bias in Longitudinal Survey Estimates: An Application to Substance-Use Outcomes Among Young Adults in the United States [PDF]
Sean Esteban Mccabe, Mccabe Sean Esteban
exaly +2 more sources
Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias [PDF]
Jonathon R B Halbesleben +1 more
exaly +2 more sources
Many household panel surveys have experienced decreasing response rates and increasing risk of nonresponse bias in recent decades, but trends in response rates and nonresponse bias in business or establishment panel surveys are largely understudied. This
Corinna König, Joseph W. Sakshaug
doaj +1 more source
With the decline of survey response rates over the past decade, survey researchers need to gather useful auxiliary variables for all sampled units and reduce nonresponse bias through adaptive design or nonresponse weighting adjustments.
Weijia Ren +3 more
doaj +1 more source
Effects of mixing modes on nonresponse and measurement error in an economic panel survey
Numerous panel surveys around the world use multiple modes of data collection to recruit and interview respondents. Previous studies have shown that mixed-mode data collection can improve response rates, reduce nonresponse bias, and reduce survey costs ...
Joseph W. Sakshaug +2 more
doaj +1 more source
Institutionalization, cognitive impairment and inability to conduct an interview due to health impairment are among the top exclusion criteria for most large-scale social and aging surveys.
Roman Kaspar +8 more
doaj +1 more source
Unit nonresponse biases in estimates of SARS-CoV-2 prevalence
Since COVID-19 became a pandemic, many studies are being conducted to get a better understanding of the disease itself and its spread. One crucial indicator is the prevalence of SARS-CoV-2 infections.
Julia Post, Fabian Class, Ulrich Kohler
doaj +1 more source
Estimation of a Finite Population Mean under Random Nonresponse Using Kernel Weights
Nonresponse is a potential source of errors in sample surveys. It introduces bias and large variance in the estimation of finite population parameters. Regression models have been recognized as one of the techniques of reducing bias and variance due to ...
Nelson Kiprono Bii +2 more
doaj +1 more source

