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WILL BIG-DATA ATTRACT P-HACKING TO THE WORLD OF INDUSTRIAL ENGINEERING?

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MAY 2019   -  Volume: 94 -  Pages: 240-242

DOI:

https://doi.org/10.6036/8851

Authors:

AITOR GOTI
- PEDRO RICARDO DUARTE BOM - JOSE ANTONIO CAMPOS GRANADOS - DIEGO GALAR PASCUAL

Disciplines:

  • INFORMATION TECHNOLOGY AND KNOWLEDGE (INGENIERIA DEL SOFTWARE )

Downloads:   268

How to cite this paper:  
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Key words:
Big Data, p-hacking, g-bias, significance chasing, data snooping, fiddling, publication bias in situ, specification searching,
Article type:
PERSPECTIVAS / PERSPECTIVES
Section:
PERSPECTIVES

This article presents the potential problem represented by the availability of the infinity of variables and data offered by Industry 4.0, which opens up the possibility to understand or use data in a biased or incorrect manner. In relation to this problem, the study presents the specific phenomenon of p-hacking as the search for the fulfillment of a specification through the tracking of data that demonstrates it, and delves into how to deal with this relatively new phenomenon.

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