2018
DOI: 10.1093/poq/nfy038
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The Accuracy of Measurements with Probability and Nonprobability Survey Samples: Replication and Extension

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Cited by 108 publications
(78 citation statements)
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References 24 publications
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“…This finding is not in line with the majority of past findings suggesting that probability samples are more representative of national data than non-probability samples [e.g. [22,[67][68][69] but it is in line with a few other ones [e.g. [37].…”
Section: Discussioncontrasting
confidence: 89%
“…This finding is not in line with the majority of past findings suggesting that probability samples are more representative of national data than non-probability samples [e.g. [22,[67][68][69] but it is in line with a few other ones [e.g. [37].…”
Section: Discussioncontrasting
confidence: 89%
“…marital status, household income, number of adults living in the home, number of bedrooms in the home, employment status, smoking, drinking alcohol, possession of a passport, possession of a driver's license). Similar accuracy was observed recently by MacInnis et al (2018).…”
Section: Examined Surveys Conducted By Knowledgesupporting
confidence: 92%
“…This methodology is the bedrock of survey research that has yielded many of the most important findings in sociology, political science, economics, and other social science disciplines. Even today, despite response rates dropping progressively in recent decades (Keeter, Kennedy, Dimock, Best, & Craighill, 2006), true random sampling continues to yield strikingly accurate measurements of populations in surveys (MacInnis, Krosnick, Ho, & Cho, 2018;Yeager et al, 2011). 1 A few studies have explored the comparability of findings obtained from non-probability haphazard samples of adults with the findings obtained from college student participants (e.g., Peterson, 2001).…”
Section: Population: New Opportunities For Theoretical Advancementmentioning
confidence: 99%
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“…A number of studies have shown, however, that the application of corrections (e.g. quota-based recruitment and population weighting) to nonprobability samples is effective in producing prevalence estimates that match those estimated from probability samples (MacInnis, Krosnick, Ho, & Cho, 2018;Yeager et al, 2011). Additionally, the corrections applied in this study were specific to the U.S. population, and so results are unlikely to represent levels of awareness of the nicotine content of JUUL products in other countries.…”
Section: Discussionmentioning
confidence: 85%