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The Long-Term Impact of Different Offline Population Inclusion Strategies in Probability-Based Online Panels: Evidence From the German Internet Panel and the GESIS Panel

机译:不同离线群体纳入策略在基于概率的在线小组中的长期影响:来自德国互联网面板和种植委员会的证据

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摘要

While online panels offer numerous advantages, they are often criticized for excluding the offline population. Therefore, some probability-based online panels have developed offline population inclusion strategies. Two dominant approaches prevail: providing internet equipment and offering an alternative survey participation mode. We investigate the impact of these approaches on two probability-based online panels in Germany: the German Internet Panel, which provides members of the offline population with internet equipment, and the GESIS Panel, which offers members of the offline population to participate via postal mail surveys. In addition, we explore the impact of offering an alternative mode only to non-internet users versus also offering the alternative mode to internet users who are unwilling to provide survey data online. Albeit lower recruitment and/or panel wave participation probabilities among offliners than onliners, we find that including the offline population has a positive long-term impact on sample accuracy in both panels. In the GESIS Panel, the positive impact is particularly strong when offering the alternative participation mode to non-internet users and internet users who are unwilling to provide survey data online.
机译:虽然在线面板提供众多优势,但它们通常批评排除离线人口。因此,基于概率的在线面板开发了离线群体包容策略。两种主导方法普遍存在:提供互联网设备并提供替代调查参与模式。我们调查这些方法对德国两种基于概率的在线小组的影响:德国互联网面板,它为具有互联网设备的离线人口和Gesis Panel提供的成员,为通过邮寄方式提供了离线人口的成员调查。此外,我们还探讨仅向非互联网用户提供的替代模式的影响,也为互联网用户提供了不愿意在线提供调查数据的互联网用户。尽管较低的招聘和/或面板波浪参与概率比沿着单机,我们发现包括离线群体对两个面板中的样本精度产生正的长期影响。在Gesis Panel中,当向非互联网用户和不愿意在线提供调查数据的非互联网用户和互联网用户提供替代参与模式时,积极影响尤其强劲。

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