The Delphi Technique in Educational Research
Open accessAbstract
The Delphi Technique has been useful in educational settings in forming guidelines, standards, and in predicting trends. Judd lists these major uses of the Delphi Technique in higher education: (a) cost-effectiveness, (b) cost–benefit analysis, (c) curriculum and campus planning, and (d) university-wide educational goals and objectives. The thorough Delphi researcher seeks to reconcile the Delphi consensus with current literature, institutional research, and the campus environment. This triangle forms a sound base for responsible research practice. This book gives an overview of the Delphi Technique and the primary uses of this technique in research. This article on the Delphi Technique will give the researcher an invaluable resource for learning about the Delphi Technique and for applying this method in educational research projects.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Panel composition adhered to Green's recommendation that Delphi panels comprise individuals with substantive expertise and to the suggested minimum panel size for educational Delphi studies (8-15 experts).
“Panel composition adhered to Green's [22] recommendation that Delphi panels comprise individuals with substantive expertise on the topic, and to the suggested minimum panel size for educational Delphi studies (8-15 experts) [24,33].”
From Toward Sustainable AI Literacy in Higher Education: A Delphi–AHP Approach to Identifying Key Components of AI/Data Extracurricular Programs (2026) · cites this paper as [22]
Cites
Consensus methods: characteristics and guidelines for use
Fink, A., Kosecoff, J., Chassin, M., & Brook, R. H. (1984) · American Journal of Public Health · doi:10.2105/ajph.74.9.979 · Cited by 2,089 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
To what extent will blockchain drive the machine economy? Perspectives from a prospective study
Schweizer, A., Knoll, P., Urbach, N., von der Gracht, H. A., & Hardjono, T. (2020) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2020.2979286 · Cited by 39 · see citing works
Craig, C., & Posner, G. D. (2017) · Journal of Obstetrics and Gynaecology Canada · doi:10.1016/j.jogc.2017.04.032 · Cited by 19 · see citing works
Ceallaigh, T. J. Ó., O’ Brien, E., Tømte, C., Kulaksız, T., & Connolly, C. (2025) · European Journal of Teacher Education · doi:10.1080/02619768.2025.2563696 · Cited by 14 · see citing works
DİJİTAL MATERYAL TASARIMI YETERLİKLERİ ÖLÇEĞİ (DMTYÖ): BİR ÖLÇEK GELİŞTİRME ÇALIŞMASI
GÖÇEN KABARAN, G., & UŞUN, S. (2021) · Eğitim Teknolojisi Kuram ve Uygulama · doi:10.17943/etku.864296 · Cited by 11 · see citing works
Bae, J.-S., Ko, K.-M., & Park, H.-J. (2026) · Sustainability · doi:10.3390/su18168050 · Cited by 3 · see citing works
- Authors
- Green, R. A.
- Affiliations
- Gainesville, GA, USA
- Corresponding author
- Green, Ravonne A.
- Venue
- Sage Open
- Publisher
- SAGE Publications
- Published
- 2014-01-01
- Volume
- 4
- Issue
- 2
- ISSN
- 2158-2440 (ISSN-L)
- OpenAlex
- W2149507878
- Cited by
- 324
- References
- 1
- Citations by year
- 2026: 35 · 2025: 34 · 2024: 37 · 2023: 39 · 2022: 51 · 2021: 40 · 2020: 27 · 2019: 17 · 2018: 19 · 2017: 11 · 2016: 6 · 2015: 3 · 2014: 5
- FWCI
- 27.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- SAGE Open (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- Delphi method, educational research methods, consensus building, higher education, curriculum development, cost-effectiveness analysis, educational goals and objectives, institutional research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
