Copyright 2007 INIST-CNRS CC BY 4.0 Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Psychology. Ethology
FRANCIS
Accession Number:
edscal.17848787
Database:
PASCAL Archive
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The ease with which data can be collected and analyzed via personal computer makes it potentially attractive to peek at the data before a target sample size is achieved. This tactic might seem appealing because data collection could be stopped early, which would save valuable resources, if a peek revealed a significant effect Unfortunately, such data snooping comes with a cost When the null hypothesis is true, the Type I error rate is inflated, sometimes quite substantially. If the null hypothesis is false, premature significance testing leads to inflated estimates of power and effect size. This program provides simulation results for a wide variety of premature and repeated null hypothesis testing scenarios. It gives researchers the ability to know in advance the consequences of data peeking so that appropriate corrective action can be taken.
