1998
DOI: 10.1006/ssre.1998.0635
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Can Weighting Compensate for Nonresponse Bias in a Dependent Variable? An Evaluation of Weighting Methods to Correct for Substantive Bias in a Mail Survey among Dutch Municipalities

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Cited by 9 publications
(3 citation statements)
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“…Response bias can be calculated by estimating the difference between the demographics of respondents and non-respondents [1214], as demographics can be associated with the attitude towards the survey topic. In our subgroup analysis, females were associated with lesser use of validated HRQOL instruments.…”
Section: Discussionmentioning
confidence: 99%
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“…Response bias can be calculated by estimating the difference between the demographics of respondents and non-respondents [1214], as demographics can be associated with the attitude towards the survey topic. In our subgroup analysis, females were associated with lesser use of validated HRQOL instruments.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, a response bias may be a limitation, as respondents may have been more interested in the study topic than non-respondents [ 11 ]. Response bias can be calculated by estimating the difference between the demographics of respondents and non-respondents [ 12 14 ], as demographics can be associated with the attitude towards the survey topic. In our subgroup analysis, females were associated with lesser use of validated HRQOL instruments.…”
Section: Discussionmentioning
confidence: 99%
“…The possibility of non-response bias has been a persistent concern of researchers since the 1800s (Pearl and Farley, 1985). Various methods have been designed to minimise the persistent problem of non-response bias (see for example Dillman, 1978) while other researchers attempted to estimate the extent of the problem (Van Goor and Stuiver, 1998).…”
Section: Measuring Non-response Biasmentioning
confidence: 99%