The mixed-mode design are adopted by NSIs both to contrast declining response and coverage rates and to reduce the cost of the surveys. However, mixed-mode design introduces several issues, such as a possible increase in the total survey error due to extra measurement error introduced by additional data collection modes and a selection effect due to differences in the population coverage and in nonresponse processes. Selection and measurement effects, components of the mode effect, are generally confounded, this involving a complication of the inferential process that can be facilitated with experimental survey designs. The work shows the main results of the analyses carried out to assess the impact on final estimates of the switching from single to mixed-mode of the Aspect of Daily Life household survey. The analyses are developed in an experimental setting in which two parallel survey designs with two samples independently selected were carried out and are mainly focused on the evaluation of the overall quality of the two realized samples of respondents in terms of bias, of the total mode effect and the impact on the multivariate distributions of the survey variables.
Mixed-mode, R-indicators, Selection Effect, Measurement Error.
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