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Nonresponse Bias Adjustments: What Can Process Data Contribute?

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Author Info
Blom A () (Institute for Social and Economic Research)
Abstract

To minimise nonresponse bias most large-scale social surveys undertake nonresponse weighting. Traditional nonresponse weights adjust for demographic information only. This paper assesses the effect and added value of weights based on fieldwork process data in the European Social Survey (ESS). The reduction of relative nonresponse bias in estimates of political activism, trust, happiness and human values was examined. The effects of process, frame and post-stratification weights, as well as of weights combining several data sources, were examined. The findings demonstrate that process weights add explanatory power to nonresponse bias adjustments. Combined demographic and process weights were most successful at removing nonresponse bias.

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File URL: http://www.iser.essex.ac.uk/publications/working-papers/iser/2009-21.pdf
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Paper provided by Institute for Social and Economic Research in its series ISER working papers with number 2009-21.

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Length: 51
Date of creation: 27 Jul 2009
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Publication status: published
Handle: RePEc:ese:iserwp:2009-21

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Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
Phone: 44-1206-872957
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Web page: http://www.iser.essex.ac.uk/

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Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
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Web: http://www.iser.essex.ac.uk/publications/

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