title: Measuring the Prevalence of Problematic Respondent Behaviors among MTurk, Campus, and Community Participants.
abstract: The reliance on small samples and underpowered studies may undermine the replicability of scientific findings. Large sample sizes may be necessary to achieve adequate statistical power. Crowdsourcing sites such as Amazon's Mechanical Turk (MTurk) have been regarded as an economical means for achieving larger samples. Because MTurk participants may engage in behaviors which adversely affect data quality, much recent research has focused on assessing the quality of data obtained from MTurk samples. However, participants from traditional campus- and community-based samples may also engage in behaviors which adversely affect the quality of the data that they provide. We compare an MTurk, campus, and community sample to measure how frequently participants report engaging in problematic respondent behaviors. We report evidence that suggests that participants from all samples engage in problematic respondent behaviors with comparable rates. Because statistical power is influenced by factors beyond sample size, including data integrity, methodological controls must be refined to better identify and diminish the frequency of participant engagement in problematic respondent behaviors.
authors.affiliation: University of Chicago, Chicago, Illinois, United States of America.
authors.forename: Elizabeth A
authors.identifier: http://orcid.org/0000-0002-9749-5710
authors.initials: EA
authors.lastname: Necka
authors.affiliation: University of Chicago Pritzker School of Medicine, Chicago, Illinois, United States of America.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Cacioppo
authors.affiliation: University of Chicago, Chicago, Illinois, United States of America.
authors.forename: Greg J
authors.initials: GJ
authors.lastname: Norman
authors.affiliation: University of Chicago, Chicago, Illinois, United States of America.
authors.forename: John T
authors.initials: JT
authors.lastname: Cacioppo
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000068598:Data Accuracy; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D000066553:Problem Behavior; D035842:Research Subjects / Q000523:psychology / Q000706:statistics & numerical data*; D018401:Sample Size; D013334:Students / Q000523:psychology / Q000706:statistics & numerical data; D011795:Surveys and Questionnaires / Q000592:standards*; D014495:Universities / Q000706:statistics & numerical data