Your browser does not support JavaScript!

The transition from single to mixed-mode of the aspects of daily life household survey: an evaluation on the quality of the estimates

newdigital The transition from single to mixed-mode of the aspects of daily
life household survey: an evaluation on the quality of the
estimates
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2019 - 2
title The transition from single to mixed-mode of the aspects of daily life household survey: an evaluation on the quality of the estimates
authors


publisher Vita e Pensiero
format Article | Pdf
online since 11-2020
doi 10.26350/999999_000027
issn 18246672 (print)
Write a comment for this product
Download

Ebook format Pdf readable on these devices:

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.

keywords

Mixed-mode, R-indicators, Selection Effect, Measurement Error.

Authors biography

ISTAT (e-mail: devitiis@istat.it; alessio.guandalini@istat.it; fringles@istat.it; terribili@istat.it).