On the Impact of Response Patterns on Survey Estimates from Access Panels

Household and individual surveys increasingly gain importance in policy support and other areas. However, the raising number of surveys leads to reduced response rates. One way to overcome the problem of nonparticipation in surveys involving a non-response bias is to use access panels as a sampling...

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Main Authors: Tobias Enderle, Ralf Münnich, Christian Bruch
Format: Article
Language:English
Published: European Survey Research Association 2013-06-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/5036
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author Tobias Enderle
Ralf Münnich
Christian Bruch
author_facet Tobias Enderle
Ralf Münnich
Christian Bruch
author_sort Tobias Enderle
collection DOAJ
description Household and individual surveys increasingly gain importance in policy support and other areas. However, the raising number of surveys leads to reduced response rates. One way to overcome the problem of nonparticipation in surveys involving a non-response bias is to use access panels as a sampling frame. Though leading to expected higher response rates, the self-selection process at the recruitment stage urges the need for a bias correction. This can be done directly when extrapolating the estimates to the population of interest or when using response propensity scores. The latter implies a correct model specification on the recruitment stage.
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spelling doaj.art-92c8bc95ec6f41e99a085bfd3540ba2d2022-12-22T03:44:35ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612013-06-017210.18148/srm/2013.v7i2.50365156On the Impact of Response Patterns on Survey Estimates from Access PanelsTobias Enderle0Ralf Münnich1Christian Bruch2University of TrierUniversity of TrierUniversity of TrierHousehold and individual surveys increasingly gain importance in policy support and other areas. However, the raising number of surveys leads to reduced response rates. One way to overcome the problem of nonparticipation in surveys involving a non-response bias is to use access panels as a sampling frame. Though leading to expected higher response rates, the self-selection process at the recruitment stage urges the need for a bias correction. This can be done directly when extrapolating the estimates to the population of interest or when using response propensity scores. The latter implies a correct model specification on the recruitment stage.https://ojs.ub.uni-konstanz.de/srm/article/view/5036volunteer panelself-selectionpropensity weightingcalibrationvariance estimation
spellingShingle Tobias Enderle
Ralf Münnich
Christian Bruch
On the Impact of Response Patterns on Survey Estimates from Access Panels
Survey Research Methods
volunteer panel
self-selection
propensity weighting
calibration
variance estimation
title On the Impact of Response Patterns on Survey Estimates from Access Panels
title_full On the Impact of Response Patterns on Survey Estimates from Access Panels
title_fullStr On the Impact of Response Patterns on Survey Estimates from Access Panels
title_full_unstemmed On the Impact of Response Patterns on Survey Estimates from Access Panels
title_short On the Impact of Response Patterns on Survey Estimates from Access Panels
title_sort on the impact of response patterns on survey estimates from access panels
topic volunteer panel
self-selection
propensity weighting
calibration
variance estimation
url https://ojs.ub.uni-konstanz.de/srm/article/view/5036
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