A sample of 500 adults completed an online survey of sun protection belief items using Amazon Mechanical Turk. This study aimed (i) to determine whether people could be differentiated on the basis of their sun protection belief profiles and individual characteristics and (ii) explore the use of a crowdsourcing web service for the assessment of sun protection beliefs. Santiago-Rivas, Marimer Schnur, Julie B Jandorf, Lina Sun Protection Belief Clusters: Analysis of Amazon Mechanical Turk Data. Our results suggest that psycholinguists can and should be taking advantage of AMT and similar online crowd-sourcing marketplaces as a fast, low-resource alternative to traditional laboratory research. Specifically, we find reliable effects of subject definiteness, filler-gap dependency processing, and agreement attraction in self-paced reading tasks using approximately the same numbers of participants and/or trials as similar laboratory studies.
PURUS LABS CONDENSE AMAZON SOFTWARE
Here we show that three classic psycholinguistic effects can in fact be replicated using AMT in combination with open-source software for gathering response times client-side. This is because psycholinguistic effects are often dependent on relatively small differences in response times, and there remains some doubt as to whether precise timing measurements can be gathered over the web.
PURUS LABS CONDENSE AMAZON OFFLINE
While this method has been successfully validated for various offline measures—grammaticality judgment or other forced-choice tasks—its use for mainstream psycholinguistic research remains limited. Researchers in linguistics and related fields have recently begun exploiting online crowd-sourcing tools, like Amazon Mechanical Turk (AMT), to gather behavioral data. The simple, yet novel design should set an example for designing surveys to obtain quality data via Amazon Mechanical Turk with the associated analyses.Ĭollecting Psycholinguistic Response Time Data Using Amazon Mechanical Turk
We confirmed the relatively poor public knowledge of ovarian cancer among the US population. Analyses included multinomial logistic regression and categorical data analysis procedures such as correspondence analysis, among other statistics. Knowledge of ovarian cancer was compared to that of breast cancer using repeated measures, bias control and other quality control measures in the survey design. The survey assessed a reasonable proxy of the US population by crowdsourcing participants through the online task marketplace Amazon Mechanical Turk, at a highly condensed rate of cost and time compared to traditional recruitment methods. The study implemented design strategies to develop an unbiased survey with quality control measures, including the modern application of multiple statistical analyses. The present investigation examined current public awareness and knowledge about ovarian cancer. The paucity of knowledge concerning ovarian cancer in the United States is unknown. These factors have significantly contributed to the late stage diagnosis of most ovarian cancer patients (63% are diagnosed at Stage III or above), where the 5-year survival rate is less than 30%. There is also an apparent severe knowledge gap of ovarian cancer in general and of its indicative symptoms among both public and many health professionals. Currently, there is a lack of approved and effective early diagnostic tools for ovarian cancer. Ovarian cancer has been termed the "silent killer" because some patients do not show clear symptoms at an early stage. Ovarian cancer is the most lethal gynecologic disease in the United States, with more women dying from this cancer than all gynecological cancers combined. Although researchers have started to use these emerging methods, little is known about how they perform in terms of cost efficiency and, more…Ĭrowdsourcing awareness: exploration of the ovarian cancer knowledge gap through Amazon Mechanical Turk.Ĭarter, Rebecca R DiFeo, Analisa Bogie, Kath Zhang, Guo-Qiang Sun, Jiayang The rise of social media websites (e.g., Facebook) and online services such as Google AdWords and Amazon Mechanical Turk (MTurk) offers new opportunities for researchers to recruit study participants. Comparisons of Online Recruitment Strategies for Convenience Samples: Craigslist, Google AdWords, Facebook, and Amazon Mechanical TurkĮRIC Educational Resources Information CenterĪntoun, Christopher Zhang, Chan Conrad, Frederick G.
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