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10.1073/pnas.1708285114 http://scihub22266oqcxt.onion/10.1073/pnas.1708285114 C5856505!5856505!29531092     free     free     free       Proc+Natl+Acad+Sci+U+S+A 2018 ; 115 (11): 2607-12 Nephropedia Template TP {{tp|p=29531092|t=2018. Metastudies for robust tests of theory |pdf=|usr=}}{{29531092}} gab.com Text Metastudies for robust tests of theory JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=29531092 #FOAvip We describe and demonstrate an empirical strategy useful for discovering and replicating empirical effects in psychological science. The method involves the design of a metastudy, in which many independent experimental variables?that may be moderators of an empirical effect?are indiscriminately randomized. Radical randomization yields rich datasets that can be used to test the robustness of an empirical claim to some of the vagaries and idiosyncrasies of experimental protocols and enhances the generalizability of these claims. The strategy is made feasible by advances in hierarchical Bayesian modeling that allow for the pooling of information across unlike experiments and designs and is proposed here as a gold standard for replication research and exploratory research. The practical feasibility of the strategy is demonstrated with a replication of a study on subliminal priming. Twit Text FOAVip Metastudies for robust tests of theory ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=29531092 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29531092 #FOAvip English Wikipedia <ref>{{Cite pmid|29531092}}</ref> Metastudies for robust tests of theory #MMPMID29531092 Baribault B; Donkin C; Little DR; Trueblood JS; Oravecz Z; van Ravenzwaaij D; White CN; De Boeck P; Vandekerckhove J Proc Natl Acad Sci U S A 2018[Mar]; 115 (11): 2607-12 PMID29531092show ga We describe and demonstrate an empirical strategy useful for discovering and replicating empirical effects in psychological science. The method involves the design of a metastudy, in which many independent experimental variables?that may be moderators of an empirical effect?are indiscriminately randomized. Radical randomization yields rich datasets that can be used to test the robustness of an empirical claim to some of the vagaries and idiosyncrasies of experimental protocols and enhances the generalizability of these claims. The strategy is made feasible by advances in hierarchical Bayesian modeling that allow for the pooling of information across unlike experiments and designs and is proposed here as a gold standard for replication research and exploratory research. The practical feasibility of the strategy is demonstrated with a replication of a study on subliminal priming. äMetastudies for robust tests of theory (epmc).pdf DeepDyve Pubget Overpricing