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基于API的试点数据收集

基于API的试点数据收集是一种结构化的数字数据收集方法,研究人员在执行全面收集之前,设计一个API查询或抓取脚本,然后进行小规模试验。试点阶段会暴露身份验证问题、速率限制约束、模式不一致和覆盖范围的差距,从而能够进行有针对性的改进,以保护最终数据集的完整性和完整性。它结合了软件工程中的集成测试实践和社会科学中的仪器预测试传统。

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来源

  1. Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 978-0691158648
  2. Presser, S., Couper, M. P., Lessler, J. T., Martin, E., Martin, J., Rothgeb, J. M., & Singer, E. (2004). Methods for testing and evaluating survey questions. Public Opinion Quarterly, 68(1), 109–130. DOI: 10.1093/poq/nfh008

如何引用本页

ScholarGate. (2026, June 3). Pilot-tested API-based Data Collection. ScholarGate. https://scholargate.app/zh/survey-methodology/pilot-tested-api-based-data-collection

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ScholarGatePilot-tested API-based data collection (Pilot-tested API-based Data Collection). 于 2026-06-15 检索自 https://scholargate.app/zh/survey-methodology/pilot-tested-api-based-data-collection · 数据集: https://doi.org/10.5281/zenodo.20539026