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Метод Дельфи×Техника «Триангулированный Дельфи»×
ОбластьМетодология опросовМетодология опросов
СемействоProcess / pipelineProcess / pipeline
Год появления1950s–1963Delphi: 1963; triangulation integration: 1970s–1990s
Автор методаNorman Dalkey and Olaf Helmer (RAND Corporation)Norman Dalkey & Olaf Helmer (Delphi); triangulation principle from Norman Denzin
ТипIterative expert consensus techniqueExpert-consensus data collection with multi-method validation
Основополагающий источникDalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458–467. 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 ↗
Другие названияDelphi method, Delphi survey, expert consensus method, iterative expert panelDelphi with triangulation, mixed-method Delphi, multi-method Delphi, triangulation-enhanced Delphi
Связанные65
СводкаThe 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.The Triangulated Delphi Technique combines the structured expert-consensus process of the classic Delphi method with deliberate triangulation — integrating data from at least one additional source or method (e.g., systematic literature review, interviews, survey data) to cross-validate findings and enhance the credibility of expert judgments. It retains the iterative, anonymous, multi-round panel format while embedding verification steps that reduce reliance on panel consensus alone.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
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ScholarGateСравнение методов: Delphi Technique · Triangulated Delphi Technique. Получено 2026-06-18 из https://scholargate.app/ru/compare