Science with or without statistics: Discover-generalize-replicate? Discover-replicate-generalize? release_tlost7lgf5fq5dkajvtws5l2mq

by John Ioannidis

Published .

2022   Volume 45, e23


Overstated generalizability (external validity) is common in research. It may coexist with inflation of the magnitude and statistical support for effects and dismissal of internal validity problems. Generalizability may be secured before attempting replication of proposed discoveries or replication may precede efforts to generalize. These opposite approaches may decrease or increase, respectively, the use of inferential statistics with advantages and disadvantages.
In text/plain format

Archived Content

There are no accessible files associated with this release. You could check other releases for this work for an accessible version.

Not Preserved
Save Paper Now!

Know of a fulltext copy of on the public web? Submit a URL and we will archive it

Type  article-journal
Stage   published
Date   2022-02-10
Language   en ?
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 0a871001-4cfc-46bb-aceb-7aef6c796279