Numerical data quality in simulation research: A reflection and epistemic implications
作者:
Highlights:
• Joining the discussion of Marsden and Pingry (2018)
• Numerical data quality in simulation research is discussed.
• Unique meaning of data quality in simulation is highlighted.
• Suggestions are provided to guide simulation research.
摘要
Marsden and Pingry (2018) discuss different aspects of numerical data that are used in empirical research, with an aim to improve data quality and facilitate research replication in the IS field. However, the implications for numerical data from simulation research also need to be discussed. This article tries to join the discussion by using Marsden and Pingry's (2018) What, When, Where, How, Who, Which, and Why aspects to discuss how we can create the necessary, but not sufficient, conditions for data accuracy, validity and reproducibility in simulation research.
论文关键词:Data quality,Simulation research,Research methodology
论文评审过程:Received 15 February 2019, Revised 16 May 2019, Accepted 16 August 2019, Available online 16 August 2019, Version of Record 3 September 2019.
论文官网地址:https://doi.org/10.1016/j.dss.2019.113134