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Verify original results through reanalysis before replicating

Published online by Cambridge University Press:  27 July 2018

Michèle B. Nuijten ,
Marjan Bakker ,
Esther Maassen  and
Jelte M. Wicherts
Michèle B. Nuijten
Affiliation:
Department of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences, Tilburg University, 5037 AB, Tilburg, The Netherlands. [email protected][email protected]@[email protected]//mbnuijten.comhttp://marjanbakker.euhttps//www.tilburguniversity.edu/webwijs/show/e.maassen/http://jeltewicherts.net
Marjan Bakker
Affiliation:
Department of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences, Tilburg University, 5037 AB, Tilburg, The Netherlands. [email protected][email protected]@[email protected]//mbnuijten.comhttp://marjanbakker.euhttps//www.tilburguniversity.edu/webwijs/show/e.maassen/http://jeltewicherts.net
Esther Maassen
Affiliation:
Department of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences, Tilburg University, 5037 AB, Tilburg, The Netherlands. [email protected][email protected]@[email protected]//mbnuijten.comhttp://marjanbakker.euhttps//www.tilburguniversity.edu/webwijs/show/e.maassen/http://jeltewicherts.net
Jelte M. Wicherts
Affiliation:
Department of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences, Tilburg University, 5037 AB, Tilburg, The Netherlands. [email protected][email protected]@[email protected]//mbnuijten.comhttp://marjanbakker.euhttps//www.tilburguniversity.edu/webwijs/show/e.maassen/http://jeltewicherts.net
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Abstract

In determining the need to directly replicate, it is crucial to first verify the original results through independent reanalysis of the data. Original results that appear erroneous and that cannot be reproduced by reanalysis offer little evidence to begin with, thereby diminishing the need to replicate. Sharing data and scripts is essential to ensure reproducibility.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 41 , 2018 , e143
Copyright
Copyright © Cambridge University Press 2018 

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