Greaves Lara M, Barlow Fiona Kate, Lee Carol H J, Matika Correna M, Wang Weiyu, Lindsay Cinnamon-Jo, Case Claudia J B, Sengupta Nikhil K, Huang Yanshu, Cowie Lucy J, Stronge Samantha, Storey Mary, De Souza Lucy, Manuela Sam, Hammond Matthew D, Milojev Petar, Townrow Carly S, Muriwai Emerald, Satherley Nicole, Fraser Gloria, West-Newman Tim, Houkamau Carla, Bulbulia Joseph, Osborne Danny, Wilson Marc S, Sibley Chris G
School of Psychology, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
School of Applied Psychology and Menzies Health Institute, Griffith University, Mount Gravatt, QLD, Australia.
Arch Sex Behav. 2017 Jul;46(5):1325-1336. doi: 10.1007/s10508-016-0857-5. Epub 2016 Sep 29.
In this study, we asked participants to "describe their sexual orientation" in an open-ended measure of self-generated sexual orientation. The question was included as part of the New Zealand Attitudes and Values Study (N = 18,261) 2013/2014 wave, a national probability survey conducted shortly after the first legal same-sex marriages in New Zealand. We present a two-level classification scheme to address questions about the prevalence of, and demographic differences between, sexual orientations. At the most detailed level of the coding scheme, 49 unique categories were generated by participant responses. Of those who responded with the following, significantly more were women: bisexual (2.1 % of women, compared to 1.5 % of men), bicurious (0.7 % of women, 0.4 % of men), and asexual (0.4 % of women and less than 0.1 % of men). However, significantly fewer women than men reported being lesbian or gay (1.8 % of women, compared to 3.5 % of men). Those openly identifying as bicurious, bisexual, or lesbian/gay were significantly younger than those with a heterosexual orientation. This study shows diversity in the terms used in self-generated sexual orientations, and provides up-to-date gender, age, and prevalence estimates for the New Zealand population. Finally, results reveal that a substantial minority of participants may not have understood the question about sexual orientation.
在本研究中，我们要求参与者以一种开放式的自我认定性取向测量方式来“描述他们的性取向”。该问题作为2013/2014年度新西兰态度与价值观研究（样本量N = 18261）的一部分，这是一项在新西兰首次同性婚姻合法化后不久进行的全国概率抽样调查。我们提出了一个两级分类方案，以解决关于性取向的流行率以及人口统计学差异的问题。在编码方案的最详细层面，参与者的回答产生了49个独特的类别。在给出以下回答的人群中，女性明显更多：双性恋（女性占2.1%，男性占1.5%）、好奇双性恋（女性占0.7%，男性占0.4%）以及无性恋（女性占0.4%，男性不到0.1%）。然而，报告自己为女同性恋或男同性恋的女性明显少于男性（女性占1.8%，男性占3.5%）。那些公开认定自己为好奇双性恋、双性恋或女同性恋/男同性恋的人明显比异性恋取向的人更年轻。这项研究显示了自我认定性取向中所使用术语的多样性，并为新西兰人口提供了最新的性别、年龄和流行率估计。最后，结果显示相当一部分参与者可能没有理解关于性取向的问题。
