Lange-Kuettner, Christiane (2017) Sex differences as a statistical variable. In: Gender Differences in Different Contexts. InTech, London, pp. 3-20. ISBN 978-953-51-2906-6
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Abstract / Description
Gender differences are often seen as either biologically determined, or culturally acquired or conditioned. However, in an age where gender equality is the main target, neither peer reviewers nor students show much interest in gender differences. Moreover, not only do people try to integrate their 'ying' and 'yang' in their personalities, also trans-gender identities are publicly acknowledged, appreciated and respected. Thus, in this chapter, I will argue that we need to downgrade gender differences to a statistical variable that explains variance, sharpens statistical effects and reveals strategies. I am giving examples from my developmental psychology research where the split-sample analysis by gender showed amazing and often unexpected effects.
Item Type: | Book Section |
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Uncontrolled Keywords: | Theories on Gender differences, Split-sample analysis, Sex differences in visual cognition |
Subjects: | 100 Philosophy & psychology > 150 Psychology |
Department: | School of Social Sciences (to June 2021) School of Social Sciences and Professions |
Depositing User: | Chris Lange-Kuettner |
Date Deposited: | 27 Apr 2018 08:56 |
Last Modified: | 09 Sep 2019 09:43 |
URI: | https://repository.londonmet.ac.uk/id/eprint/1440 |
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