Using longitudinal dyadic data analysis techniques to explore gender identity and sleep within couples

This research project used longitudinal dyadic data analysis to explore:

1. The dynamics of gender identity within heterosexual couples over time
2. How gender dynamics within couples over time are associated with reports of sleep.

Results were used to engage with ideas surrounding how traditional masculinities are constructed in relation to emphasized femininities and how they are constructed in the areas of face-to-face interactions over time. The findings also enabled us to engage with recent sociological literature which suggests that sleep is a gendered arena.