Characteristics of Respondents to Web-Based or Traditional Interviews in Mixed-Mode Surveys. Evidence from the Italian Permanent Population Census

Grimaccia Elena (), Naccarato Alessia (), Gallo Gerardo (), Cecconi Novella () and Fratoni Alessandro ()
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Grimaccia Elena: Istat, Italian National Institute for Statistics, via Cesare Balbo 16, 00184 Rome, Italy
Naccarato Alessia: Department of Economics, Roma Tre University, via Silvio D’Amico 77, 00145 Rome, Italy.
Gallo Gerardo: Istat, Italian National Institute for Statistics, via Cesare Balbo 16, 00184 Rome, Italy
Cecconi Novella: Istat, Italian National Institute for Statistics, via Cesare Balbo 16, 00184 Rome, Italy
Fratoni Alessandro: Istat, Italian National Institute for Statistics, via Cesare Balbo 16, 00184 Rome, Italy

Journal of Official Statistics, 2023, vol. 39, issue 1, 1-26

Abstract: 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.

Keywords: Mixed-mode surveys; respondent profiling; multilevel models; computer assisted web interview (CAWI) (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:39:y:2023:i:1:p:1-26:n:5

DOI: 10.2478/jos-2023-0001

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