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临床样本和非临床样本中克莱因性取向量表的聚类分析:当双性恋并非双性恋时。

Cluster Analysis of the Klein Sexual Orientation Grid in Clinical and Nonclinical Samples: When Bisexuality Is Not Bisexuality.

作者信息

Weinrich James D, Klein Fritz, McCutchan J Allen, Grant Igor

机构信息

HIV Neurobehavioral Research Center, University of California, San Diego.

出版信息

J Bisex. 2014;14(3-4):349-372. doi: 10.1080/15299716.2014.938398.

Abstract

We used a cluster analysis to empirically address whether sexual orientation is a continuum or can usefully be divided into categories such as heterosexual, homosexual, and bisexual using scores on the Klein Sexual Orientation Grid (KSOG) in three samples: groups of men and women recruited through bisexual groups and the Internet (Main Study men; Main Study women), and men recruited for a clinical study of HIV and the nervous system (HIV Study men). A five-cluster classification was chosen for the Main Study men (n = 212), a four-cluster classification for the Main Study women (n = 120), and a five-cluster classification for the HIV Study men (n = 620). We calculated means and standard deviations of these 14 clusters on the 21 variables composing the KSOG. Generally, the KSOG's overtly erotic items (Sexual Fantasies, Sexual Behavior, and Sexual Attraction), as well as the Self Identification items, tended to be more uniform within groups than the more social items were (Emotional Preference, Socialize with, and Lifestyle). The result is a set of objectively identified subgroups of bisexual men and women along with characterizations of the extent to which their KSOG scores describe and differentiate them. The Bisexual group identified by the cluster analysis of the HIV sample was distinctly different from any of the bisexual groups identified by the clustering process in the Main Sample. Simply put, the HIV sample's bisexuality is not like bisexuality in general, and attempts to generalize (even cautiously) from this clinical Bisexual group to a larger population would be doomed to failure. This underscores the importance of recruiting non-clinical samples if one wants insight into the nature of bisexuality in the population at large. Although the importance of non-clinical sampling in studies of sexual orientation has been widely and justly asserted, it has rarely been demonstrated by direct comparisons of the type conducted in the present study.

摘要

我们采用聚类分析方法,通过在三个样本中使用克莱因性取向量表(KSOG)的得分,实证研究性取向是一个连续体,还是可以有效地分为异性恋、同性恋和双性恋等类别。这三个样本分别是:通过双性恋群体和互联网招募的男性和女性群体(主要研究男性;主要研究女性),以及为一项关于HIV与神经系统的临床研究招募的男性(HIV研究男性)。主要研究男性(n = 212)采用五聚类分类法,主要研究女性(n = 120)采用四聚类分类法,HIV研究男性(n = 620)采用五聚类分类法。我们计算了构成KSOG的21个变量在这14个聚类中的均值和标准差。一般来说,KSOG中明显带有色情意味的项目(性幻想、性行为和性吸引力),以及自我认同项目,在组内比那些更具社会性的项目(情感偏好、与之交往和生活方式)更具一致性。结果是得到了一组客观确定的双性恋男性和女性亚组,以及对他们KSOG得分在多大程度上描述和区分他们的特征描述。通过对HIV样本进行聚类分析确定的双性恋组与主要样本聚类过程中确定的任何双性恋组都明显不同。简而言之,HIV样本中的双性恋与一般的双性恋不同,试图从这个临床双性恋组(即使是谨慎地)推广到更大的人群将会注定失败。这突出了如果想要深入了解一般人群中双性恋的本质,招募非临床样本的重要性。尽管在性取向研究中,非临床抽样的重要性已被广泛且合理地强调,但像本研究中进行的这种直接比较却很少见。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/227c/4267693/9bbe11a1c982/nihms618252f1.jpg

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