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Generic
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A Meta-Analysis of How Country-Level Factors Affect Web Survey Response Rates
%A Daikeler, Jessica
%A Silber, Henning
%A Bošnjak, Michael
%K ISSP
%K Antwortverhalten
%K Online-Befragung
%K interkulturelle Faktoren
%K Datenqualität
%K response rates
%K cross-national
%K cross-cultural
%K web surveys
%K meta-analysis
%D 2022
%X Veröffentlichungsversion
%X begutachtet (peer reviewed)
%X In: International Journal of Market Research ; 64 (2022) 3 ; 306-333
%X A major challenge in web-based cross-cultural data collection is varying response rates, which can result in low data quality and non-response bias. Country-specific factors such as the political and demographic, economic, and technological factors as well as the socio-cultural environment may have an effect on the response rates to web surveys. This study evaluates web survey response rates using meta-analytical methods based on 110 experimental studies from seven countries. Three dependent variables, so-called effect sizes, are used: the web response rate, the response rate to the comparison survey mode, and the difference between the two response rates. The meta-analysis indicates that four country-specific factors (political and demographic, economic, technological, and socio-cultural) impact the magnitude of web survey response rates. Specifically, web surveys achieve high response rates in countries with high population growth, high internet coverage, and a high survey participation propensity. On the other hand, web surveys are at a disadvantage in countries with a high population age and high cell phone coverage. This study concludes that web surveys can be a reliable alternative to other survey modes due to their consistent response rates and are expected to be used more frequently in national and international settings.
%U http://slubdd.de/katalog?TN_libero_mab2