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方法族Process / pipelineProcess / pipeline
起源年份2007–2010 (mainstream smartphone era)Late 2000s–2010s (accelerated with smartphone adoption, ~2007–2015)
提出者Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem)Emerged from web survey methodology researchers (Couper, Buskirk, Toepoel, and others)
类型Digital data collection techniqueQuantitative / mixed data collection technique
开创性文献Luce, M. F., Kahn, B. E., & Malhotra, N. K. (2016). Capturing consumer experiences with mobile research methods. Journal of Consumer Research, 42(6), 949–965. link ↗Toepoel, V., & Lugtig, P. (2014). What happens if you offer a mobile option to your web panel? Evidence from a probability-based panel of internet users. Social Science Computer Review, 32(4), 544–560. DOI ↗
别名mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collectionsmartphone survey, mobile web survey, mobile questionnaire, m-survey
相关66
摘要Mobile API-based data collection uses mobile devices (smartphones, tablets) to query application programming interfaces — structured web endpoints that return machine-readable data — enabling researchers to gather behavioral, contextual, sensor-enriched, or platform-generated data in real time from participants in their natural environments. It combines the ubiquity of mobile hardware with the scalability and standardization of RESTful or GraphQL APIs.A mobile survey is a self-report questionnaire designed and administered through smartphones or tablets, either via a mobile-optimized web browser or a dedicated app. As mobile devices became the dominant mode of internet access globally, surveys must be built for small screens, touch interaction, and variable connectivity. Mobile surveys are used across social science, public health, market research, and organizational studies when reaching respondents in their natural, everyday context is a priority.
ScholarGate数据集
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  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Mobile API-based Data Collection · Mobile Survey. 于 2026-06-17 检索自 https://scholargate.app/zh/compare