পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মোবাইল এপিআই-ভিত্তিক ডেটা সংগ্রহ× | মোবাইল এক্সপেরিয়েন্স স্যাম্পলিং× | |
|---|---|---|
| ক্ষেত্র | জরিপ পদ্ধতি | জরিপ পদ্ধতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2007–2010 (mainstream smartphone era) | 1983 |
| প্রবর্তক≠ | Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem) | Mihaly Csikszentmihalyi & Reed Larson |
| ধরন≠ | Digital data collection technique | Intensive longitudinal data collection technique |
| মৌলিক উৎস≠ | 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 ↗ | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| অপর নাম | mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collection | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| সম্পর্কিত≠ | 6 | 5 |
| সারসংক্ষেপ≠ | 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. | 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. |
| ScholarGateডেটাসেট ↗ |
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