West Tessa V, Popp Danielle, Kenny David A
Department of Psychology, University of Connecticut, Storrs 06269-1020, USA.
Pers Soc Psychol Bull. 2008 Mar;34(3):321-36. doi: 10.1177/0146167207311199.
The study of gender differences is a pervasive topic in relationship science. However, there are several neglected issues in this area that require special care and attention. First, there is not just one gender effect but rather three gender effects: gender of the respondent, gender of the partner, and the gender of respondent by gender of the partner interaction. To separate these three effects, the dyadic research design should ideally have three different types of dyads: male-female, male-male, and female-female. Second, the analysis of gender differences in relational studies could benefit from the application of recent advances in the analysis of dyadic data, most notably the Actor-Partner Interdependence Model. Third, relationship researchers need to consider the confounding, mediating, and moderating effects of demographic variables. We use the American Couples (Blumstein & Schwartz, 1983) data set to illustrate these points.
性别差异研究是关系科学中一个普遍存在的话题。然而，该领域存在几个被忽视的问题，需要特别关注和重视。首先，性别效应并非只有一种，而是有三种：受访者的性别、伴侣的性别以及受访者性别与伴侣性别之间相互作用所产生的性别效应。为了区分这三种效应，二元研究设计理想情况下应具备三种不同类型的二元组：男女组合、男男组合和女女组合。其次，关系研究中对性别差异的分析可以从应用二元数据分析的最新进展中受益，最显著的是行为者 - 伙伴相互依赖模型。第三，关系研究者需要考虑人口统计学变量的混杂、中介和调节效应。我们使用“美国夫妻”数据集（Blumstein & Schwartz，1983）来说明这些要点。
