Using Mechanical Turk to Study Clinical Populations
By D. Shapiro, Jesse J. Chandler, Pam Mueller. 2013
1,163 citations recorded by the source corpus.
Subfields: Applied Psychology, Computer Science Applications, Health
View Paper: https://www.semanticscholar.org/paper/83958b263283c037746ab93585a97557d16bbee7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Psychology
- Louis Tay
- Melissa G. Keith
- Christopher P. Niemiec
- P. D. Harms
- M. Chmielewski
- Sarah C. Kucker
- Geoffrey Williams
- N. Legate
In Computer Science Applications
- P. D. Harms
- Gabriele Paolacci
- Melissa G. Keith
- Louis Tay
- Jesse J. Chandler
- Scott Clifford
- Kyle A. Thomas
- D. Shapiro
In Health
- M. Chmielewski
- Gabriele Paolacci
- Sarah C. Kucker
- Jesse J. Chandler
- Melissa G. Keith
- Tzvi Abberbock
- Jonathan Robinson
- P. D. Harms
Citations in the corpus
- An MTurk Crisis? Shifts in Data Quality and the Impact on Study Results (2019, positive): “…types of data (Behrend et al., 2011; Buhrmester et al., 2011; Casler et al., 2013; Eriksson & Simpson, 2010; Goodman, Cryder, & Cheema, 2013; Horton, Rand, & Zeckhauser, 2011; Kees et al., 2017; Mason & Watts, 2009; Paolacci & Chandler, 2014; Shapiro, Chandler, & Mueller, 2013; Suri & Watts, 2011).”
- TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences (2016, methodology): “Data acquired on MTurk have been found to be valid across numerous tasks and countries (Litman, Robinson, & Rosenzweig, 2015; Shapiro, Chandler, & Mueller, 2013; Sprouse, 2011), despite the relatively low price that participants are paid for completing tasks, making the MTurk platform a fast method…”
- Crowdsourcing Consumer Research (2017, background): “For instance, they are slightly more introverted and show higher levels of social anxiety (Goodman et al. 2013), and express slightly lower self-esteem and greater incidence of depression and emotional regulation (Arditte et al. 2015; Shapiro et al. 2013).”
- The Harmony in Life Scale Complements the Satisfaction with Life Scale: Expanding the Conceptualization of the Cognitive Component of Subjective Well-Being (2016, background): “2011) and clinical psychology (Shapiro et al. 2013) where mental health questionnaires for examples on depression, anxiety and Diener’s et al.”
- Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature (2018, background): “…tend to be welleducated participants from South and Southeast Asia, so the results may not be demographically reflective of the global population Shapiro, Chandler, and Mueller (2013) To assess the utility of using Amazon’s MTurk for conducting research on psychopathology The prevalence of…”
- Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics (2018, background): “employment in different occupational sectors of workers on MTurk was very similar to that of CCES respondents, and that the respondents were located in similar locations on the rural-urban continuum. Shapiro et al. (2013) investigated the suitability of crowdworker samples for conducting research on”
- Income Inequality Influences Perceptions of Legitimate Income Differences (2017, neutral): “2013) and misrepresentation (Shapiro et al. 2013) on Mechanical Turk; these are concerns that are worth taking seriously.”
- Mindfulness, Work Climate, and Psychological Need Satisfaction in Employee Well-being (2015, background): “…(e.g., Buhrmester et al. 2011; Gosling et al. 2004), decision-making studies (e.g., Amir et al. 2012; Paolacci et al. 2010), behavior and cognitive behavior experiments (e.g., Jasmin and Casasanto 2012; Suri and Watts 2011), and research using clinical populations (e.g., Shapiro et al. 2013).”
- How serious is the ‘carelessness’ problem on Mechanical Turk? (2019, background): “Shapiro, Chandler, and Mueller (2013) have encouraged researchers to continue to critically evaluate the appropriateness of recruiting MTurk samples.”
- Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments (2017, result): “…decisionmaking result; Improved scale reliabilities Provided noisier data Ramsey et al., 2016 50.4% 85.3% 91.5% Non-intuitive directionsq Rouse, 2015 N/A 2 attention checks Improved scale reliability Provided noisier data Schuldt & Roh, 2014 20.3% 1 IMC None N/A Shapiro et al., 2013 15.1e16.”