Random effects won't solve the problem of generalizability

Behavioral and Brain Sciences 45 (2022)
  Copy   BIBTEX

Abstract

Yarkoni argues that researchers making broad inferences often use impoverished statistical models that fail to include important sources of variation as random effects. We argue, however, that for many common study designs, random effects are inappropriate and insufficient to draw general inferences, as the source of variation is not random, but systematic.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,592

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

The generalizability crisis.Tal Yarkoni - 2022 - Behavioral and Brain Sciences 45:1-37.
Why Emotions Do Not Solve the Frame Problem.Madeleine Ransom - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 353-365.
The Statistical Riddle of Induction.Eric Johannesson - 2023 - Australasian Journal of Philosophy 101 (2):313-326.

Analytics

Added to PP
2022-04-09

Downloads
12 (#1,078,270)

6 months
8 (#351,566)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Adam Bear
Yale University
Jonathan Phillips
Dartmouth College

Citations of this work

No citations found.

Add more citations

References found in this work

Add more references