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Current practices in meta‐regression in psychology, education, and medicine
Author(s) -
Tipton Elizabeth,
Pustejovsky James E.,
Ahmadi Hedyeh
Publication year - 2019
Publication title -
research synthesis methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.376
H-Index - 35
eISSN - 1759-2887
pISSN - 1759-2879
DOI - 10.1002/jrsm.1339
Subject(s) - meta regression , meta analysis , psychology , best practice , field (mathematics) , psychological research , cochrane library , regression analysis , applied psychology , data science , medical education , computer science , medicine , social psychology , political science , mathematics , machine learning , pure mathematics , law
Having surveyed the history and methods of meta‐regression in a previous paper, in this paper, we review which and how meta‐regression methods are applied in recent research syntheses. To do so, we reviewed studies published in 2016 across four leading research synthesis journals: Psychological Bulletin , the Journal of Applied Psychology , Review of Educational Research , and the Cochrane Library . We find that the best practices defined in the previous review are rarely carried out in practice. In light of the identified discrepancies, we consider how to move forward, first by identifying areas where further methods development is needed to address persistent problems in the field and second by discussing how to more effectively disseminate points of methodological consensus.