Facet-level measurement of personality is becoming increasingly popular, as research demonstrates that models using narrow facets often have greater predictive power compared to models based on broad, trait-level factors alone. This special collection aims to publish novel, high-quality research on facet-level personality instruments in any language.

Gender is a critical factor in social science research, affecting study design, data collection, and analysis methods. While many fields have started to develop gender-sensitive measurement tools, there is still a pressing need to improve these instruments to better capture the complexities of gender in diverse contexts.