Improving the generalizability of infant psychological research: The ManyBabies model

Authors
  • I. Visser ORCID logo
  • C. Bergmann
  • K. Byers-Heinlein
  • R. Dal Ben
  • W. Duch
  • S. Forbes
  • L. Franchin
  • M.C. Frank
  • A. Geraci
  • J.K. Hamlin
  • Z. Kaldy
  • L. Kulke
  • C. Laverty
  • C. Lew-Williams
  • V. Mateu
  • J. Mayor
  • D. Moreau
  • I. Nomikou
  • T. Schuwerk
  • E.A. Simpson
  • L. Singh
  • M. Soderstrom
  • J. Sullivan
  • M.I. van den Heuvel
  • G. Westermann
  • Y. Yamada
  • L. Zaadnoordijk
  • M. Zettersten
Publication date 2022
Journal Behavioral and Brain Sciences
Article number e35
Volume | Issue number 45
Pages (from-to) 63-65
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract

Yarkoni's analysis clearly articulates a number of concerns limiting the generalizability and explanatory power of psychological findings, many of which are compounded in infancy research. ManyBabies addresses these concerns via a radically collaborative, large-scale and open approach to research that is grounded in theory-building, committed to diversification, and focused on understanding sources of variation.
Document type Comment/Letter to the editor
Note Open peer commentary to: T. Yarkoni (2022) The generalizability crisis. Behavioral and brain sciences, 45:e1.
Language English
Published at https://doi.org/10.1017/S0140525X21000455
Permalink to this page
Back