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Managing Delphi Surveys Using Nonparametric Statistical Techniques*

1997/07/01 by Roy C. Schmidt, Roy Schmidt · 5 citations
Decision Sciences · Psychology · Social Sciences · #Construction Project Management and Performance #Delphi Technique in Research #Team Dynamics and Performance

paper · doi:10.1111/j.1540-5915.1997.tb01330.x

crossref issued 1997/07/01 · crossref published 1997/07/01 · crossref published-print 1997/07/01 · openalex publication_date 1997/07/01 · crossref published-online 2007/06/07 · crossref created 2007/06/07 · crossref deposited 2025/01/17 · openalex created_date 2025/10/10 · crossref indexed 2026/07/29 · openalex updated_date 2026/07/30

Abstract

ABSTRACT Information systems researchers have often turned to a variant of the Delphi survey technique to support their research of key issues in their field. Two particular weaknesses of past studies using this approach have been a lack of a definitive method for conducting the research and a lack of statistical support for the conclusions drawn by the researchers. In this paper, the author presents a method, based on nonparametric statistical techniques, to conduct ranking‐type Delphi surveys, perform analysis, and report results. The author takes this one step further by illustrating an actual analysis of a Delphi survey. The analysis is compared to results that were presented without the benefit of the author's approach. This paper shows that use of the advocated approach can streamline and strengthen studies, improve the validity of results, and thus better serve the consumers of the research findings. Since the ranking‐type Delphi is so popular among information systems researchers, a consistent method is needed to apply to their data collection, analysis, and reporting of results. This paper provides such a method in concise form and illustrates the use of the method in a manner affording comparison between it and previous practice.

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