เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| เทคนิคเดลฟายออนไลน์× | เทคนิคเดลฟาย× | |
|---|---|---|
| สาขาวิชา | ระเบียบวิธีสำรวจ | ระเบียบวิธีสำรวจ |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | Original Delphi: 1950s–1960s; Online variant: mid-1990s onwards | 1950s–1963 |
| ผู้ริเริ่ม≠ | Olaf Helmer, Norman Dalkey, Nicholas Rescher (RAND Corporation); online adaptation emerged in the 1990s–2000s | Norman Dalkey and Olaf Helmer (RAND Corporation) |
| ประเภท≠ | Iterative expert consensus method (online) | Iterative expert consensus technique |
| แหล่งต้นตำรับ≠ | Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015. DOI ↗ | Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458–467. DOI ↗ |
| ชื่อเรียกอื่น | e-Delphi, electronic Delphi, web-based Delphi, internet Delphi | Delphi method, Delphi survey, expert consensus method, iterative expert panel |
| ที่เกี่ยวข้อง≠ | 5 | 6 |
| สรุป≠ | The Online Delphi Technique (e-Delphi) is an iterative, web-mediated consensus method in which a geographically dispersed panel of experts responds to successive rounds of structured questionnaires distributed and collected via email or a web platform. Anonymous feedback and controlled statistical summaries are fed back between rounds, guiding panellists toward convergence on priorities, predictions, or recommendations without the social pressures of face-to-face group discussion. | The Delphi technique is a structured, multi-round data collection method that harvests and refines expert opinion through iterative questionnaires and controlled feedback. Developed at RAND Corporation in the 1950s, it is designed to converge a dispersed expert panel toward a reliable consensus on complex, uncertain, or future-oriented questions — without the conformity pressures of face-to-face group discussion. |
| ScholarGateชุดข้อมูล ↗ |
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