In-group bias
Rudman & Goodwin (2004) conducted research on gender bias that measured gender preferences without directly asking the participants. Subjects at Purdue and Rutgers participated in computerized tasks that measured automatic attitudes based on how quickly a person categorizes pleasant and unpleasant attributes with each gender. Such a task was done to discover whether people associate pleasant words (good, happy, and sunshine) with women, and unpleasant words (bad, trouble, and pain) with[1][2]
This research found that while both women and men have more favourable views of women, women's in-group biases were 4.5 times stronger than those of men and only women (not men) showed cognitive balance among in-group bias, identity, and self-esteem, revealing that men lack a mechanism that bolsters automatic preference for their own gender.