Meng Guangteng, Wang Lingxiao, Zhong Bowei, Wang Shujing, Li Qi, Liu Xun
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
Br J Psychol. 2025 Feb;116(1):52-68. doi: 10.1111/bjop.12734. Epub 2024 Sep 12.
Emerging evidence highlights the role of social comparison in competition and cooperation, yet the dynamics among competitiveness, cooperativeness, and social comparison orientation (SCO) remain underexplored. In the present study, we sought to unravel these complex interplays employing graphical Gaussian models (GGMs) and characterize the network structures utilizing cross-sectional data derived from 1073 Chinese participants. A pre-registered independent sample (n = 1348) served to examine the replicability and robustness of our initial findings. Moreover, we explored the Bayesian networks (i.e., directed acyclic graphs) to delve into their probabilistic directed dependencies. Our analysis identified an interpersonal co-opetition network where SCO bridges competitiveness and cooperativeness, emphasizing the key influence of the desire to surpass others. We also found a significant gender effect on the levels of these orientations but not on the network patterns. Additionally, the replication sample offered validation for the resultant network structure and its key nodes. In sum, these findings provide a new insight into the symbiotic relationship between competitiveness and cooperativeness within the framework of social comparison, offering significant theoretical and practical implications.
新出现的证据凸显了社会比较在竞争与合作中的作用,但竞争力、合作性和社会比较取向(SCO)之间的动态关系仍未得到充分探索。在本研究中,我们试图运用图形高斯模型(GGMs)来揭示这些复杂的相互作用,并利用来自1073名中国参与者的横断面数据来刻画网络结构。一个预先注册的独立样本(n = 1348)用于检验我们初步发现的可重复性和稳健性。此外,我们探索了贝叶斯网络(即有向无环图),以深入研究它们的概率性直接依赖关系。我们的分析确定了一个人际合作竞争网络,其中SCO连接着竞争力和合作性,强调了超越他人愿望的关键影响。我们还发现这些取向的水平存在显著的性别效应,但在网络模式上没有。此外,复制样本为所得的网络结构及其关键节点提供了验证。总之,这些发现为社会比较框架内竞争力与合作性之间的共生关系提供了新的见解,具有重要的理论和实践意义。