方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| API数据收集× | 在线调查× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2000s–2010s (formalized as a research method) | Mid-1990s (widespread scholarly adoption ~1995–2000) |
| 提出者≠ | Emerged from computational social science and web 2.0 platform practices | Mick P. Couper, Don A. Dillman (early systematic frameworks) |
| 类型≠ | Digital data collection technique | Quantitative / mixed-methods data collection technique |
| 开创性文献≠ | Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648 | Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494. DOI ↗ |
| 别名 | API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection | web survey, internet survey, e-survey, computer-assisted web interviewing |
| 相关≠ | 5 | 6 |
| 摘要≠ | 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. | An online survey is a structured data collection instrument hosted on a web platform and completed by respondents via internet-connected devices. It enables large-scale, geographically dispersed data gathering at low cost and with rapid turnaround. Respondents self-administer the questionnaire at their convenience, which reduces interviewer bias and permits automatic data capture. Online surveys are the dominant mode of survey research in social, behavioural, health, and market research today. |
| ScholarGate数据集 ↗ |
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