Previous research has shown that emotion recognition varies within and between individuals, influenced by physiological and psychological factors such as hormones, biological sex, and dispositional traits. However, inconsistent results and methodological shortcomings have hindered our understanding of this variation and its contributing factors. Therefore, using two large datasets, this dissertation investigated whether variation in emotion recognition accuracy is associated with person-related sources in methodologically rigorous research. Study 1 examined whether women's emotion recognition accuracy varied as a function of the ovulatory cycle and ovarian hormone levels (estradiol and progesterone) in a within-subject, pre-registered study. However, no significant variation was found, questioning the overemphasis placed on the ovulatory cycle shift in emotion recognition accuracy in women. Study 2 examined sex differences in emotion recognition accuracy and found small but significant differences favoring women, particularly for recognizing negative emotions and across all modalities presented. Finally, Study 3 used an exploratory approach to examine the potential interactive effect of person-related sources, including dispositional traits and ovulatory cycle, in predicting variation in emotion recognition accuracy. Results showed that when personality traits such as openness and neuroticism were considered, emotion recognition accuracy varied significantly across the ovulatory cycle. Women with higher neuroticism scores had impaired emotion recognition during the mid-luteal phase compared to the late follicular phase and when progesterone levels were elevated. In addition, women who scored higher on openness had improved emotion recognition in the late follicular phase compared to the mid-luteal phase. The significant effects of sex and the interaction between personality traits and biological markers, such as the ovulatory cycle and ovarian hormones, highlight the importance of considering biology-environment interactions in understanding individual variability in emotion recognition. Therefore, to gain a better understanding of individual variability in emotion recognition accuracy and the factors that contribute to it, future research needs to take these interactions into account.