Survey Participation, Nonresponse Bias, Measurement Error Bias, and Total Bias

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Survey Participation, Nonresponse Bias, Measurement Error Bias, and Total Bias

A common hypothesis about practices to reduce survey nonresponse is that those persons brought into the respondent pool through persuasive efforts may provide data filled with measurement error. Two questions flow from this hypothesis. First, does the mean square error of a statistic increase when sample persons who are less likely to be contacted or cooperate are incorporated into the responde...

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Assessing Nonresponse Bias and Measurement Error Using Statistical Matching

The estimation of nonresponse bias and measurement error share the problem of usually not having a criterion to assess the quality of the estimate. Nonresponse bias analysis often uses responders within the survey sample who are in some way similar to nonresponders to estimate the potential bias. This depends on the variables within the survey being related to both the likelihood of responding ...

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Estimation of Nonresponse Bias Darnell

AUTHOR’S NOTE: 7a~ ~-~<?/tJ ~c’M:’c/M’c/F~~, YcM~ycc~oM a~Dcw~ AUTHOR’S NOTE: I am grateful to Michael Flynn James Ja kson nd David Segal, principal investigators of he 1973 Detroit Area Study, for the use of their data. E. M. Beck read earlier drafts and provided invaluable assistance. My thanks also to Mary Senter, John Siebs, Connie Gask, Paula Sa, and Diane ~a/!~ /sc’ ~o ~f~ 5’~~ Y /!M 5’~&...

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Random measurement error and regression dilution bias.

Department of Obstetrics & Gynaecology, University of British Columbia, Vancouver, Canada Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Purvis Hall, 1020 Avenue des Pins Ouest, Montreal QC, Canada H3A 1A2 Institute of Social and Preventive Medicine (IUMSP), University Hospital Centre and University of Lausanne, Lausanne, Switzerland Correspondence to: J ...

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Exploring nonresponse bias in a health survey using neighborhood characteristics.

OBJECTIVES We examined potential nonresponse bias in a large-scale, population-based, random-digit-dialed telephone survey in California and its association with the response rate. METHODS We used California Health Interview Survey (CHIS) data and US Census data and linked the two data sets at the census tract level. We compared a broad range of neighborhood characteristics of respondents and...

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ژورنال

عنوان ژورنال: Public Opinion Quarterly

سال: 2006

ISSN: 1537-5331,0033-362X

DOI: 10.1093/poq/nfl038