Salīdzināt metodes

	Datu vākšana, izmantojot API	Mobilā pieredzes izlase
Nozare	Aptauju metodoloģija	Aptauju metodoloģija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2000s–2010s (formalized as a research method)	1983
Autors	Emerged from computational social science and web 2.0 platform practices	Mihaly Csikszentmihalyi & Reed Larson
Tips	Digital data collection technique	Intensive longitudinal data collection technique
Pirmavots	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648	Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536.
Citi nosaukumi	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection	ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA
Saistītās	5	5
Kopsavilkums	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.	Mobile Experience Sampling (ESM) is an intensive longitudinal data-collection technique in which participants respond to brief, repeated questionnaires delivered to their smartphones at random or scheduled intervals throughout the day. By capturing thoughts, feelings, behaviors, and context at or near the moment they occur, ESM minimises retrospective recall bias and provides a high-resolution picture of psychological and behavioral fluctuations in everyday life.