Literature DB >> 30052702

Similarities and Differences in Tobacco Control Research Findings From Convenience and Probability Samples.

Michelle Jeong1,2, Dongyu Zhang3, Jennifer C Morgan1, Jennifer Cornacchione Ross4, Amira Osman2, Marcella H Boynton1,2, Jennifer R Mendel2, Noel T Brewer1,2.   

Abstract

BACKGROUND: Online convenience samples are a quick and low-cost way to study health behavior, but the comparability to findings from probability samples is not yet well understood.
PURPOSE: We sought to compare convenience and probability samples' findings for experiments, correlates, and prevalence in the context of tobacco control research.
METHODS: Participants were a probability sample of 5,014 U.S. adults recruited by phone from September 2014 through May 2015 (cost ~U.S.$620,000) and an online convenience sample of 4,137 U.S. adults recruited through Amazon Mechanical Turk (MTurk) in December 2014 (cost ~U.S.$17,000). Participants completed a survey with experiments, measures of tobacco product use and demographic characteristics.
RESULTS: MTurk convenience and probability samples showed the same pattern of statistical significance and direction in almost all experiments (21 of 24 analyses did not differ) and observational studies (19 of 25 associations did not differ). Demographic characteristics of the samples differed substantially (1 of 17 estimates did not differ), with the convenience sample being younger, having more years of education, and including more Whites and Asians. Tobacco product use also differed substantially (1 of 22 prevalence estimates did not differ), with the convenience sample reporting more cigarette and e-cigarette use (median error 19%).
CONCLUSIONS: Using MTurk convenience samples can yield generalizable findings for experiments and observational studies. Prevalence estimates from MTurk convenience samples are likely to be over- or underestimates. © Society of Behavioral Medicine 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Convenience sampling; Health behavior; Mechanical Turk; Tobacco control; Validity

Mesh:

Year:  2019        PMID: 30052702      PMCID: PMC6339836          DOI: 10.1093/abm/kay059

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  13 in total

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3.  Social identity and support for counteracting tobacco company marketing that targets vulnerable populations.

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Authors:  Noel T Brewer; Jennifer C Morgan; Sabeeh A Baig; Jennifer R Mendel; Marcella H Boynton; Jessica K Pepper; M Justin Byron; Seth M Noar; Robert P Agans; Kurt M Ribisl
Journal:  Tob Control       Date:  2016-12-06       Impact factor: 7.552

5.  Crowdsourced data collection for public health: A comparison with nationally representative, population tobacco use data.

Authors:  John D Kraemer; Andrew A Strasser; Eric N Lindblom; Raymond S Niaura; Darren Mays
Journal:  Prev Med       Date:  2017-07-08       Impact factor: 4.018

6.  Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

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Journal:  Perspect Psychol Sci       Date:  2011-02-03

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Authors:  Jessica K Pepper; M Justin Byron; Kurt M Ribisl; Noel T Brewer
Journal:  Prev Med       Date:  2016-12-23       Impact factor: 4.018

8.  Communicating about cigarette smoke constituents: an experimental comparison of two messaging strategies.

Authors:  Sabeeh A Baig; M Justin Byron; Marcella H Boynton; Noel T Brewer; Kurt M Ribisl
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9.  Common (mis)beliefs about memory: a replication and comparison of telephone and Mechanical Turk survey methods.

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10.  Brand switching and toxic chemicals in cigarette smoke: A national study.

Authors:  Jennifer R Mendel; Sabeeh A Baig; Marissa G Hall; Michelle Jeong; M Justin Byron; Jennifer C Morgan; Seth M Noar; Kurt M Ribisl; Noel T Brewer
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

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Journal:  Drug Alcohol Depend       Date:  2019-03-01       Impact factor: 4.492

6.  The importance of shared decision-making in the neonatal intensive care unit.

Authors:  Frank Soltys; Sydney E Philpott-Streiff; Lindsay Fuzzell; Mary C Politi
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7.  Initial development of the Hookah Smoker Scale: Assessing young adults' mental schemas about hookah "smokers".

Authors:  Lilianna Phan; Darren Mays; Kenneth P Tercyak; Andrea C Johnson; Kathryn Rehberg; Isaac M Lipkus
Journal:  Transl Behav Med       Date:  2021-02-11       Impact factor: 3.046

8.  How should sugar-sweetened beverage health warnings be designed? A randomized experiment.

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10.  Development and Pretesting of Risk-Based Mobile Multimedia Message Content for Young Adult Hookah Use.

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