More Reasons Why Replication Is A Difficult Issue
Rand R. Wilcox and
Guillaume A Rousselet
Additional contact information
Guillaume A Rousselet: University of Glasgow
No 9amhe, OSF Preprints from Center for Open Science
Abstract:
Many issues complicate efforts to replicate studies, including concerns about models. Hundreds of papers published over the last sixty years make it clear that the models underlying the conventional statistical methods that are routinely taught and used can lead to low power, inflated false positive rates and inaccurate confidence intervals. In this chapter, we summarize these issues and how they affect replication assessment. We conclude that instead of trying to replicate poorly characterized effects, our efforts would be better spent on developing and discussing more detailed models.
Date: 2024-05-22
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://osf.io/download/664e566f77ff4c0c51e0451f/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:9amhe
DOI: 10.31219/osf.io/9amhe
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().