2012
DOI: 10.1177/1010539512450610
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Selection Bias of Internet Panel Surveys

Abstract: The estimated characteristics of commercial Internet panel surveys were quite different from the national statistical data. In a commercial Internet panel survey, selection bias should not be underestimated.

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Cited by 22 publications
(9 citation statements)
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“…One is the young median age of our responder, which is mostly due to the dissemination manner (via social media) and to their familiarity with digital technologies. The latter, also known as the "digital divide" [31], is a frequent bias affecting Internet-based surveys and cannot currently be overcome [32]. Another limitation is the skewing in the geographical distribution of responders, which were 79% from the North-East.…”
Section: Discussionmentioning
confidence: 99%
“…One is the young median age of our responder, which is mostly due to the dissemination manner (via social media) and to their familiarity with digital technologies. The latter, also known as the "digital divide" [31], is a frequent bias affecting Internet-based surveys and cannot currently be overcome [32]. Another limitation is the skewing in the geographical distribution of responders, which were 79% from the North-East.…”
Section: Discussionmentioning
confidence: 99%
“…The following limitations of the study should be noted. Our use of an Internet sample for the sake of convenience may limit the generalizability of the findings, since Internet users tend to have different sociodemographic and psychological characteristics than non-users 40 , 41 ) . In addition, the present sample included a limited proportion of respondents with blue-collar jobs.…”
Section: Discussionmentioning
confidence: 99%
“…Although surveying on the Internet has undeniable advantages such as speed, cost, or flexibility, it may create a selection bias against people who do not have Internet access and the illiterate population [56]. Literature shows that the prevalence of women, older, and highly educated people is higher in Internet panels in comparison to that in paper-based surveys [57]. Different biases may have reduced the prevalence of vulnerable populations in the present study and led to an over-estimation of the indicators.…”
Section: Discussionmentioning
confidence: 99%