Neumann Eva, Rohmann Elke, Sattel Heribert
Department of Psychosomatic Medicine and Psychotherapy, LVR University Hospital Düsseldorf, Heinrich Heine University, 40629 Düsseldorf, Germany.
Department of Social Psychology, Faculty of Psychology, Ruhr University, 447801 Bochum, Germany.
Behav Sci (Basel). 2023 Nov 16;13(11):935. doi: 10.3390/bs13110935.
The aim of the present work was the development and validation of a short form of the Experiences in Close Relationship Scale (ECR) in German. Three studies were conducted. In study 1, the best items for the short form were selected from the item pool of the original version based on ant colony optimization (ACO), a recently developed probabilistic approach. Data from three samples collected at a university, an online portal, and a psychosomatic clinic with a total of 1470 participants were analyzed. A 10-item solution resulted, measuring avoidance and anxiety with five items each. This solution showed a good model fit and acceptable reliability in all three samples. The two new short scales were independent of each other. In study 2, the 10-item solution was validated by correlating the new short scales with external criteria. Data from previous studies that included student, community, and clinical samples were reanalyzed. Both short scales showed expected correlations with measures of romantic relationships, personality, psychopathology, and childhood trauma, indicating convergent and discriminant validity. The significant correlations were moderate to strong. In study 3, the selected ten items alone and several content-related scales were presented online to 277 participants, most of them students. The good results in terms of model fit, reliability, and validity observed in studies 1 and 2 could be replicated here. The new short form, called ECR-G-10, allows the measurement of attachment avoidance and anxiety in an economic way in research and clinical practice.
本研究的目的是开发并验证德文版亲密关系体验量表（ECR）的简版。研究共进行了三项。在研究1中，基于蚁群优化算法（ACO，一种最近开发的概率方法），从原始版本的项目库中选择了简版的最佳项目。对来自一所大学、一个在线平台和一家身心诊所收集的三个样本的数据进行了分析，样本总数为1470名参与者。最终得到了一个10项的量表，其中五项用于测量回避，五项用于测量焦虑。该量表在所有三个样本中均显示出良好的模型拟合度和可接受的信度。这两个新的简版量表相互独立。在研究2中，通过将新的简版量表与外部标准进行关联，对10项量表进行了验证。对之前包括学生、社区和临床样本的研究数据进行了重新分析。两个简版量表均与浪漫关系、人格、精神病理学和童年创伤的测量指标呈现出预期的相关性，表明具有聚合效度和区分效度。显著相关性为中等至强相关。在研究3中，将单独选定的十个项目以及几个与内容相关的量表在线呈现给277名参与者，其中大多数是学生。在研究1和2中观察到的在模型拟合度、信度和效度方面的良好结果在此得到了重复验证。这个新的简版量表称为ECR-G-10，可在研究和临床实践中以经济的方式测量依恋回避和焦虑。
