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性别及性别角色对高中地位体系的影响。

Influence of sex and gender roles on high school status systems.

作者信息

Williams J M, Andersen M B

机构信息

University of Arizona, Department of Exercise and Sport Sciences, Tucson 85721.

出版信息

Adolescence. 1987 Winter;22(88):755-65.

PMID:3434396
Abstract

Past research has indicated significant sex differences in determinants of male and female high school students' status as measured by how subjects would like to have been remembered from their high school years. In order to determine if remembrance preference is sex or gender role related, 671 subjects were administered the Bem Sex-Role Inventory (BSRI) and a questionnaire asking if they most wanted to be remembered from high school as a brilliant student, leader in activities, athletic star or most popular. Using both the median split and t-ratio procedures in scoring the BSRI, 206 subjects were selected because they were sex-typed (masculine males, feminine females), cross sex-typed (masculine females, feminine males), or androgynous (scoring high on both masculine and feminine traits). To find a model of best fit, the data were subjected to a log-linear analysis. The variables included were sex, gender role, and remembrance preference. Rather than sex being the influential factor, the model of best fit was a gender role by remembrance preference interaction. If subjects were masculine, they were more likely to choose athletic star than were feminine or androgynous subjects. Most popular and leader in activities were both more likely to be chosen by feminine and androgynous subjects. All groups chose brilliant student more often than any other category. It was concluded that some previously designated sex differences may instead be differences in gender role. Further research should address the distinction between the two.

摘要

过去的研究表明,在以受试者希望高中时代被如何铭记来衡量的男女高中生地位的决定因素方面,存在显著的性别差异。为了确定铭记偏好是与性别还是性别角色相关,对671名受试者进行了贝姆性别角色量表(BSRI)测试,并发放了一份问卷,询问他们最希望高中时代被铭记为优秀学生、活动领袖、体育明星还是最受欢迎的人。在对BSRI进行评分时,使用中位数分割和t比率程序,挑选出206名受试者,因为他们属于性别类型化(男性化的男性、女性化的女性)、跨性别类型化(男性化的女性、女性化的男性)或双性化(在男性化和女性化特质上得分都很高)。为了找到最佳拟合模型,对数据进行了对数线性分析。纳入的变量包括性别、性别角色和铭记偏好。最佳拟合模型不是性别,而是性别角色与铭记偏好的交互作用。如果受试者是男性化的,那么他们比女性化或双性化的受试者更有可能选择体育明星。最受欢迎的人和活动领袖更有可能被女性化和双性化的受试者选择。所有组选择优秀学生的频率都高于其他任何类别。研究得出结论,一些先前确定的性别差异可能实际上是性别角色的差异。进一步的研究应该关注两者之间的区别。

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