ArticleFrontiers in psychology2017
Conducting Online Behavioral Research Using Crowdsourcing Services in Japan.
Article in Frontiers in psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Mental illness stigma and treatment-seeking willingness in Japan: a national survey study.International journal for equity in health · 2026Article
- Developing a comprehensive scale for measuring explanatory models of mental disorders among Japanese adults.Frontiers in psychology · 2026Article
- Sex differences in the relationship between autistic traits and face-change discrimination sensitivity in the general population: a psychophysical investigation.Cognitive processing · 2025Article
- Iconicity Emerges From Language Experience: Evidence From Japanese Ideophones and Their English Equivalents.Cognitive science · 2024Article
- Probing sustained attention and fatigue across the lifespan.PloS one · 2024Article
- Reliability of web-based affective auditory stimulus presentation.Behavior research methods · 2022Article
- Article
- Computational Process of Sharing Emotion: An Authentic Information Perspective.Frontiers in psychology · 2022Article
- Role of Reputation in Sustainable Performance of Online Crowdsourcing Vendors: An Explanation From Transaction Cost Theory.Frontiers in psychology · 2021Article
- Gratitude Questionnaire-20 Items (G20): A Cross-Cultural, Psychometric and Crowdsourcing Analysis.Frontiers in psychology · 2020Article
- CROCUFID: A Cross-Cultural Food Image Database for Research on Food Elicited Affective Responses.Frontiers in psychology · 2019Article
- EmojiGrid: A 2D Pictorial Scale for the Assessment of Food Elicited Emotions.Frontiers in psychology · 2018Article
- Article
- Knowledge of congenital cytomegalovirus (cCMV) among physical and occupational therapists in the United States.PloS one · 2017Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent research on human behavior has often collected empirical data from the online labor market, through a process known as crowdsourcing. As well as the United States and the major European countries, there are several crowdsourcing services in Japan. For research purpose, Amazon's Mechanical Turk (MTurk) is the widely used platform among those services. Previous validation studies have shown many commonalities between MTurk workers and participants from traditional samples based on not only personality but also performance on reasoning tasks. The present study aims to extend these findings to non-MTurk (i.e., Japanese) crowdsourcing samples in which workers have different ethnic backgrounds from those of MTurk. We conducted three surveys (
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