McCloskeyDNZiliakST (1996) The standard error of regressions. Journal of Economic Literature34(1): 97–114.
2.
MohajeriKMesgariMLeeAS (2020) When statistical significance is not enough: investigating relevance, practical significance, and statistical significance. MIS Quarterly44(2): 525–559.
3.
SmithG (2022), Distrust: Big Data, Data-Torturing, and the Assault on Science, Oxford: Oxford University Press, in press.
4.
SmithGCordesJ (2019), The 9 Pitfalls of Data Science, Oxford: Oxford University Press.
5.
SmithGCordesJ (2020), The Phantom Pattern Problem: The Mirage of Big Data, Oxford: Oxford University Press.
6.
TianFXuSXXuSX (2015) How do enterprise resource planning systems affect firm risk? post-implementation impact. MIS Quarterly39(1): 39−60.
7.
WangJGuptaMGuptaM, et al. (2015) Insider threats in a financial institution: analysis of attack-proneness of information systems applications. MIS Quarterly39(12): 91–112.
8.
ZiliakSTMcCloskeyDN (2004) Size matters: the standard error of regressions in the American Economic Review. The Journal of Socio-Economics33(5): 527–546.