2019
DOI: 10.2196/11865
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Socioeconomic Status and Racial or Ethnic Differences in Participation: Web-Based Survey

Abstract: Background Web-based survey data collection has been widely used because of its advantages, although attaining and retaining participants can be challenging. There are several factors associated with successful Web-based survey participation; yet little is known regarding racial or ethnic and socioeconomic differences in the progress of a Web-based survey. Objective This study aimed to examine racial or ethnic and socioeconomic status (SES) differences in participation … Show more

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Cited by 105 publications
(72 citation statements)
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References 39 publications
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“…Our convenience sampling process yielded a group that was predominately non-Hispanic white. The underrepresentation of racial and ethnic minorities in our sample is comparable to previous web-based research studies [ 33 ]. The majority of our participants had dental insurance coverage, and more than three-fourths saw a dental care provider at least once in past year.…”
Section: Discussionsupporting
confidence: 86%
“…Our convenience sampling process yielded a group that was predominately non-Hispanic white. The underrepresentation of racial and ethnic minorities in our sample is comparable to previous web-based research studies [ 33 ]. The majority of our participants had dental insurance coverage, and more than three-fourths saw a dental care provider at least once in past year.…”
Section: Discussionsupporting
confidence: 86%
“…The majority of study participants were mothers, married, Caucasian, between 30 and 59 years of age, and with a higher income, all of which could call into question the generalizability of our findings. The lack of ethnic or racial difference in PWS prevalence points towards a bias in web-based survey participation or online recruitment strategies that may disproportionally affect different groups of race or ethnicity [ 48 ]. The results of this study are also mostly applicable to individuals with PWS living at home.…”
Section: Discussionmentioning
confidence: 99%
“…Second, our metrics are limited in that they do not include all axes of diversity (e.g., socioeconomic, veteran, and international status). Third, internet surveys tend to have systematic biases, with some demographics more likely to respond to a call than others (Jang and Vorderstrasse 2019). One suggestive indication of such a pattern in our results is that women appear to have answered the survey at higher rates than men.…”
Section: Discussionmentioning
confidence: 99%