方法对比
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| 移动德尔菲技术× | Mobile Experience Sampling× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Classic Delphi: 1950s; mobile variant: 2000s–2010s | 1983 |
| 提出者≠ | Olaf Helmer, Norman Dalkey, Nicholas Rescher (RAND Corporation) — mobile adaptation emerged early 21st century | Mihaly Csikszentmihalyi & Reed Larson |
| 类型≠ | Iterative expert consensus technique | Intensive longitudinal data collection technique |
| 开创性文献≠ | Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015. DOI ↗ | Csikszentmihalyi, M., & Larson, R. (1987). Validity and reliability of the Experience-Sampling Method. Journal of Nervous and Mental Disease, 175(9), 526–536. DOI ↗ |
| 别名 | mobile Delphi, smartphone Delphi, mDelphi, mobile consensus survey | ESM, Experience Sampling Method, Ecological Momentary Assessment, EMA |
| 相关≠ | 6 | 5 |
| 摘要≠ | The Mobile Delphi Technique applies the structured, iterative Delphi consensus process through smartphone or tablet interfaces, enabling geographically dispersed expert panels to participate in multiple rounds of rating and feedback from any location. It preserves the anonymity and controlled feedback loop of the classic Delphi while reducing response latency through push notifications and mobile-optimised questionnaires. | 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. |
| ScholarGate数据集 ↗ |
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