In order to provide useful tools for researchers in the design of actions to promote participation in web surveys, it is key to study the characteristics that define the profile of a “web respondent”, so that specific interventions can be planned. In this contribution, which draws on data collected during the 2019 housing population census in Italy, we define the set of familial and geographical characteristics that correspond to a greater probability that the interviewed household will choose to respond online, by estimating a multilevel model. The profile of a “computer-assisted web interview household” (CAWI-H) is then defined, on the basis of the structural characteristics of this population. Moreover, the geographical distribution of households is studied according to their distance from the CAWI-H profile. The results show that households that are more distant from the CAWI-H profile have characteristics that correspond to segments of the population generally affected by economic and social fragility; they are mainly elderly, foreigners, residents in small towns, and people with a low level of education. It is to these households in particular that survey designers can address specific actions that can enhance their willingness to participate in web surveys.

中文翻译：

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混合模式调查中基于 Web 或传统访谈的受访者的特征。来自意大利永久人口普查的证据

为了为研究人员设计促进参与网络调查的行动提供有用的工具，关键是要研究定义“网络受访者”概况的特征，以便可以规划具体的干预措施。在这篇文章中，我们利用 2019 年意大利住房人口普查期间收集的数据，通过估计多层次模型，定义了一组家庭和地理特征，这些特征与受访家庭选择在线回答的可能性更大。然后根据该人口的结构特征定义“计算机辅助网络访谈家庭”(CAWI-H) 的概况。此外，根据家庭与 CAWI-H 概况的距离研究家庭的地理分布。结果表明，距离 CAWI-H 曲线较远的家庭具有与通常受经济和社会脆弱性影响的人口部分相对应的特征；他们主要是老年人、外国人、小城镇居民和受教育程度低的人。尤其是对于这些家庭，调查设计者可以采取具体行动来提高他们参与网络调查的意愿。