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Similarity and Positivity of Personality Profiles Consistently Predict Relationship Satisfaction in Dyads

机译:人格特征的相似性和积极性一致地预测双性恋者的关​​系满意度

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The effect of similarities in the personality traits of romantic partners on their relationship satisfaction (RS) has often been studied, albeit with mixed results. Beyond the main effects of personality traits, incremental validity was often completely missing, or at least very low. In contrast, our five studies, three cross-sectional – including one study on leader–follower dyads to secure generalizability – and two longitudinal, show that, in predicting RS, the beta-coefficients of distance (where distance is defined as the average across items of absolute differences between the two partners’ self-ratings) or positivity (where positivity is defined as the frequency of extremely positive self-ratings) increase when either the positivity of the profiles or the distance between the profiles is added as second predictor. Thus, positivity and distance seem to function as reciprocal suppressor variables that allow controlling for irrelevant components of the predictors. Consequently, when combined with positivity, distance proved to be a consistently better predictor of RS than has been reported in most previous studies. Combining profile distance with profile positivity appears to be promising well beyond research on RS, in that an individual profile of traits can be matched with a profile of a specific environment’s offers and demands when person-environment fit is the focus of interest.
机译:尽管有不同的结果,但经常研究浪漫伴侣的性格特征上的相似性对他们的关系满意度(RS)的影响。除了人格特质的主要影响之外,增量效度常常被完全忽略,或者至少非常低。相比之下,我们的五项研究,三项横断面研究(包括一项关于确保领导性的跟随者二联研究)和两项纵向研究表明,在预测RS时,距离的β系数(其中距离定义为平均当将配置文件的积极性或配置文件之间的距离添加为第二预测因子时,两个伙伴的自我评价之间的绝对差异或积极性(其中积极性定义为非常积极的自我评价的频率)的项目会增加。因此,积极性和距离似乎是互为抑制变量,可以控制预测变量的不相关成分。因此,当与阳性反应相结合时,与大多数以前的研究相比,距离被证明一直是更好的RS预测指标。将轮廓距离与轮廓正性相结合似乎超出了RS的研究前景,因为当关注人与环境时,可以将个性特征与特定环境的供求相匹配。

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