The Meta Machine: Using Automation to Catalyze Leaps Forward in Meta-analytic Reviews

Autor:	George Christopher Banks, Dan Foy, Boyoung Kim, Joanna Korman, Matthew C. Makel, Phil Schrodt, Stuti Thapa
Rok vydání:	2018
DOI:	10.31219/osf.io/932qp
Popis:	This paper briefly reviews the current state of meta-analytics research and suggests two innovations for dramatically increasing the efficiency and robustness of meta-analytic practice while simultaneously extending meta-analyses’ “shelf life” in the face of continually accumulating evidence.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::588819d832bc948cba98a281173d9912 https://doi.org/10.31219/osf.io/932qp Zobrazit plný text záznamu