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Sex and Power: Why Sex/Gender Neuroscience Should Motivate Statistical Reform

  • Cordelia FineEmail author
  • Fiona Fidler
Reference work entry

Abstract

Towards the end of the last century, statistical reporting in medical research underwent substantial reform, with null hypothesis significance testing replaced with an estimation approach. Interestingly, this reform may have been largely motivated by the social costs of error within medical research, rather than simply scientific error per se. This chapter briefly reviews the benefits of the estimation statistical approach as a means to producing reliable information about nature and then describes how the current statistical method of null hypothesis significance testing specifically contributes to scientific error in sex/gender neuroscience. The potential social harm that can arise from such errors in this area of research is then highlighted. It is suggested that sex/gender neuroscience may therefore provide a valuable model to motivate, on ethical grounds, statistical reform within the psychological sciences.

Keywords

Gender Stereotype Theoretical Significance Functional Neuroimaging Study Social Harm Null Hypothesis Significance Testing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Melbourne School of Psychological Sciences & MelbourneBusiness School & Centre for Ethical Leadership, University of MelbourneCarltonAustralia
  2. 2.Australian Centre of Excellence for Risk Analysis (ACERA), Environmental Science, School of BotanyUniversity of MelbourneCarltonAustralia

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