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Choice of y-axis can mislead readers

Using two examples from the non-scientific literature, we show how choice of unit of measure and scaling of y-axis can caused a biased perception of data, a phenomenon we propose to call perception bias. We recommend to pre-specify unit of measure or how it will be determined, whether outcome variab...

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Bibliographic Details
Main Authors: Erdogan, Betül R., Vollert, Jan, Michel, Martin C.
Format: Online Article Text
Language:English
Published: Springer Berlin Heidelberg 2020
Subjects:
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419489/
https://www.ncbi.nlm.nih.gov/pubmed/32588070
http://dx.doi.org/10.1007/s00210-020-01926-x