A reporting guideline for IS survey research

Wendy Hui, Siu Man Lui, Wai Kwong Lau

Research output: Contribution to journalArticle

Abstract

As a research method, the survey is known to be subject to various types of biases. Nevertheless, a survey is often the most direct and cost-effective way to solicit people's opinions. We emphasize that, regardless of the data collection method, it is impossible to remove all potential biases in a research setting. Aside from adhering to research design best practice, authors are responsible for providing sufficient transparency in the reporting of their work to enhance replicability and to allow others to evaluate the validity of their research. In this paper, we develop a reporting guideline for IS survey research. Researchers conducting IS survey research can use this guide as a checklist when they prepare their manuscripts, and peer reviewers can use it to evaluate research quality and the sufficiency of reporting. We hope that similar guidelines can be developed for other IS research methods and that their use and endorsement by research outlets can motivate researchers to pay greater attention to research design and data quality.

Original languageEnglish
Article number113136
JournalDecision Support Systems
Volume126
DOIs
Publication statusPublished - Nov 2019

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Guidelines
Research
Research Design
Research Personnel
Manuscripts
Surveys and Questionnaires
Research design
Survey research
Research methods
Research Methods
Survey Research
Checklist
Practice Guidelines
Transparency
Costs and Cost Analysis
Data collection
Peers
Check list
Data quality
Design quality

Cite this

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A reporting guideline for IS survey research. / Hui, Wendy; Lui, Siu Man; Lau, Wai Kwong.

In: Decision Support Systems, Vol. 126, 113136, 11.2019.

Research output: Contribution to journalArticle

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