เปรียบเทียบวิธี

	เทคนิคเดลฟายแบบสามเส้า	เทคนิคกลุ่มนามธรรม
สาขาวิชา	ระเบียบวิธีสำรวจ	เชิงคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	Delphi: 1963; triangulation integration: 1970s–1990s	1971
ผู้ริเริ่ม	Norman Dalkey & Olaf Helmer (Delphi); triangulation principle from Norman Denzin	André L. Delbecq and Andrew H. Van de Ven
ประเภท	Expert-consensus data collection with multi-method validation	Qualitative research method
แหล่งต้นตำรับ	Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458–467.	Delbecq, A. L., & Van de Ven, A. H. (1971). A group process model for problem identification and program planning. Journal of Applied Behavioral Science, 7(4), 466–492.
ชื่อเรียกอื่น	Delphi with triangulation, mixed-method Delphi, multi-method Delphi, triangulation-enhanced Delphi	NGT, structured group process, nominal group process, priority-setting group method
ที่เกี่ยวข้อง	5	6
สรุป	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.	The Nominal Group Technique (NGT) is a structured group facilitation method designed to generate and prioritise ideas, problems, or solutions while ensuring equal participation from all members. Developed by Delbecq and Van de Ven in 1971, it combines silent individual idea generation with structured group discussion and systematic voting to produce a ranked list of priorities. Unlike unstructured focus groups, NGT prevents dominant voices from suppressing quieter participants, making it especially valuable for needs assessment, program planning, and stakeholder priority-setting in applied research and policy contexts.