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Sejas klātne jeb klātienes Delphu metode×Tiešsaistes Delphu tehnika×
NozareAptauju metodoloģijaAptauju metodoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads1950s–1963Original Delphi: 1950s–1960s; Online variant: mid-1990s onwards
AutorsNorman Dalkey and Olaf Helmer (RAND Corporation)Olaf Helmer, Norman Dalkey, Nicholas Rescher (RAND Corporation); online adaptation emerged in the 1990s–2000s
TipsStructured expert-consensus methodIterative expert consensus method (online)
PirmavotsDalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458–467. DOI ↗Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015. DOI ↗
Citi nosaukumiin-person Delphi, face-to-face Delphi, conventional Delphi, FtF Delphie-Delphi, electronic Delphi, web-based Delphi, internet Delphi
Saistītās55
KopsavilkumsThe face-to-face Delphi Technique is a structured, iterative consensus-building method conducted through in-person sessions with a purposively selected panel of experts. Across multiple rounds, panelists independently respond to structured questionnaires, receive aggregated group feedback, and revise their judgments until acceptable consensus is reached. The face-to-face format adds direct interpersonal interaction while preserving the anonymity of individual ratings within each round.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.
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ScholarGateSalīdzināt metodes: Face-to-face Delphi Technique · Online Delphi Technique. Izgūts 2026-06-18 no https://scholargate.app/lv/compare