Self-reported Health Status Differs for Amazon’s Mechanical Turk Respondents Compared With Nationally Representative Surveys
Bibliographic Data
| ID | 9099885 |
|---|---|
| Authors | Karoline Mortensen (0000-0002-9549-7288, Department of Health Sector Management and Policy, University of Miami School of Business Administration, Coral Gables, FL, corresponding author), Manuel G Alcalá (University of Pennsylvania), Michael T French (0000-0002-2812-916X, University of Miami), Tianyan Hu (0009-0004-2660-8871, Florida International University) |
| Year | 2018 |
| Volume | 56 |
| Issue | 3 |
| Pages | 211-215 |
| Publication date | 2018-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000000871 |
| PMID | 29329148 |
| OpenAlex | W2782914161 |
| Language | EN |
| Citations received | 5 |
| References cited | 11 |
BACKGROUND: Amazon's Mechanical Turk (MTurk) platform has become a data source for peer-reviewed academic research publications, with over 24,000 Google Scholar search results. Although well-developed and supportive in other disciplines, the literature in health and medicine comparing results from samples generated on MTurk to gold standard, nationally representative health and medical surveys is beginning to emerge. OBJECTIVE: To compare the demographic, socioeconomic, and self-reported health status variables in an MTurk sample to those from 2 prominent national probability surveys, including the Medical Expenditure Panel Survey (MEPS) and the Behavioral Risk Factor Surveillance System (BRFSS). RESEARCH DESIGN: We analyze weighted and unweighted tabulations of the MTurk, MEPS, and BRFSS. Wald tests identify statistical significance. MEASURES: Demographic, socioeconomic, and health status variables in an adult MTurk sample collected in 2016 (n=1916), the 2015 MEPS household survey component (n=21,210), and the 2015 BRFSS (n=283,502). RESULTS: Our findings indicate statistically significant differences in the demographic, socioeconomic, and self-perceived health status tabulations in the MTurk sample relative to the unweighted and weighted MEPS and BRFSS. The MTurk sample is more likely to be female (65.8% in MTurk, 50.9% in MEPS, 50.2% in BRFSS), white (80.1% in MTurk, 76.9% in MEPS, and 73.9% in BRFSS), non-Hispanic (91.1%, 82.4%, and 81.4%, respectively), younger, and less likely to report excellent health status (6.8% in MTurk, 28.3% in MEPS, and 20.2% in BRFSS). CONCLUSIONS: We find significant differences across variables that warrant hesitation in using MTurk data as a replacement for the gold standard datasets in health services research
Amazon rainforest · Environmental health · Geography · Sociology · Artificial Intelligence in Healthcare and Education · Demography · Ethics and Social Impacts of AI · Medicine · Mobile Crowdsensing and Crowdsourcing · Psychology · Gerontology
Exploring the Links between Individual Types of Adverse Childhood Experiences and Self-Reported Psychiatric and Neurocognitive Conditions
The View from Above
Persistent effects of the Covid-19 pandemic on diet, exercise, risk for food insecurity, and quality of life
Are tattoos associated with employment and wage discrimination? Analyzing the relationships between body art and labor market outcomes
Social Media Crowdsourcing in Health Care Research
A New Initiative on Precision Medicine
Reliability of Self-rated Health in US Adults
Conducting Clinical Research Using Crowdsourced Convenience Samples
Self-Rated Health and Mortality
Retest reliability of surveillance questions on health related quality of life
Crowdsourced Health Data
Evaluating Online Labor Markets for Experimental Research
Self-reported health and gender
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,63 |
| Citation span | 2018 - 2025 (8) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |