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Meta‐analysis and Individual Participant Data Synthesis in Child Development: Introduction to the Special Section
Author(s) -
Roisman Glenn I.,
IJzendoorn Marinus H.
Publication year - 2018
Publication title -
child development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.103
H-Index - 257
eISSN - 1467-8624
pISSN - 0009-3920
DOI - 10.1111/cdev.13127
Subject(s) - section (typography) , special section , meta analysis , context (archaeology) , developmental science , psychology , value (mathematics) , child development , developmental psychology , computer science , history , medicine , archaeology , engineering physics , machine learning , engineering , operating system
This paper serves as an Introduction by the co‐editors to a Special Section of Child Development entitled “Meta‐analysis and Individual Participant Data Synthesis in Child Development.” First, the co‐editors emphasize that the work contained in the Special Section was selected to highlight the value of meta‐analysis not only for synthesizing study‐level published and unpublished data but also as regards its ability to support programmatic, replicable, and cumulative developmental science. Second, the co‐editors identify some of the cross‐cutting themes of the papers featured in the Special Section, including the value of meta‐analysis for summarizing and interrogating the full range of developmental science and in potentially transforming conventional wisdom in given domains along with the importance of recent innovations for improving standard meta‐analytic practice–particularly in the context of developmental questions. Emphasized especially are contributions to the Special Section that extend classic meta‐analysis to individual participant data synthesis.

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