Mertens, Willem and Recker, Jan C. ORCID: 0000-0002-2072-5792 (2019). New Guidelines for Null Hypothesis Significance Testing in Hypothetico-Deductive IS Research. Journal of the Association for Information Systems. Association for Information Systems. ISSN 1536-9323

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Abstract

The objective of this Research Perspectives article is to promote policy change amongst journals, scholars and students with a vested interest in hypothetico-deductive information systems (IS) research. We are concerned about the design, analysis, reporting and reviewing of quantitative IS studies that draw on null hypothesis significance testing (NHST). We observe that debates about misinterpretations, abuse, and issues with NHST, while having persisted for about half a century, remain largely absent in IS. We find this an untenable position for a discipline with a proud quantitative tradition. We discuss traditional and emergent threats associated with the application of NHST and examine how they manifest in recent IS scholarship. To encourage the development of new standards for NHST in hypothetico-deductive IS research, we develop a balanced account of possible actions that are implementable short-term or long-term and that incentivize or penalize specific practices. To promote an immediate push for change, we also develop two sets of guidelines that IS scholars can adopt right away.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Mertens, WillemUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Recker, Jan C.UNSPECIFIEDorcid.org/0000-0002-2072-5792UNSPECIFIED
URN: urn:nbn:de:hbz:38-100069
Journal or Publication Title: Journal of the Association for Information Systems
Date: 2019
Publisher: Association for Information Systems
ISSN: 1536-9323
Language: English
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Professur für Wirtschaftsinformatik und Systementwicklung
Subjects: Data processing Computer science
General statistics
Management and auxiliary services
Related URLs:
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/10006

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