方法对比

	移动调查	API数据收集
领域	调查方法论	调查方法论
方法族	Process / pipeline	Process / pipeline
起源年份	Late 2000s–2010s (accelerated with smartphone adoption, ~2007–2015)	2000s–2010s (formalized as a research method)
提出者	Emerged from web survey methodology researchers (Couper, Buskirk, Toepoel, and others)	Emerged from computational social science and web 2.0 platform practices
类型	Quantitative / mixed data collection technique	Digital data collection technique
开创性文献	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.	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
别名	smartphone survey, mobile web survey, mobile questionnaire, m-survey	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
相关	6	5
摘要	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.	API-based data collection is a systematic technique in which a researcher sends structured requests to an application programming interface to retrieve data automatically from digital platforms, databases, or services. It is the primary method used in computational social science to gather large-scale social media records, government open data, financial data streams, and scientific repository content in machine-readable formats such as JSON or XML, enabling reproducible and scalable data acquisition that manual collection cannot match.