| Summary: | 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.
|
|---|