A bifactorial approach to the Experiences in Close Relationships-Revised scale

IF 3.5 2区 心理学 Q1 PSYCHOLOGY, SOCIAL Personality and Individual Differences Pub Date : 2024-10-19 DOI:10.1016/j.paid.2024.112911
Laura Machan , Christopher Bale, Daniel Boduszek
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Abstract

The Experiences in Close Relationships-Revised (ECR-R) scale has been argued to be the most robust measure of adult attachment to date. However, while previous authors propose that the ECR-R contains a 2-factor model of attachment with the factors representing anxious and avoidant attachment, none have considered a bifactor model of attachment (i.e., an overarching factor of attachment security, together with additional latent variables representing anxious and avoidant attachment) and several have applied, arguably unnecessary, data parcelling. In the current study, 911 participants completed the ECR-R and measures of several associated variables to assess differential predictive validity. Confirmatory factor analysis suggested that the bifactor model was found to be the best fit to the data. These findings have important implications for evaluating previous research which has used the ECR-R. The practical implications of these are discussed.
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亲密关系中的经历--修订版量表的双因素方法
亲密关系中的经历-修订版(ECR-R)量表被认为是迄今为止最可靠的成人依恋测量方法。然而,尽管之前的作者提出 ECR-R 包含一个依恋的双因子模型,其中的因子代表焦虑依恋和回避依恋,但没有人考虑过依恋的双因子模型(即依恋安全的总体因子,以及代表焦虑依恋和回避依恋的附加潜变量),而且有几位作者还应用了可能是不必要的数据分层。在本研究中,911 名参与者完成了 ECR-R 和几个相关变量的测量,以评估不同的预测有效性。确认性因素分析表明,双因素模型是最适合数据的。这些发现对于评估以往使用 ECR-R 的研究具有重要意义。本文讨论了这些结果的实际意义。
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来源期刊
CiteScore
8.50
自引率
4.70%
发文量
577
审稿时长
41 days
期刊介绍: Personality and Individual Differences is devoted to the publication of articles (experimental, theoretical, review) which aim to integrate as far as possible the major factors of personality with empirical paradigms from experimental, physiological, animal, clinical, educational, criminological or industrial psychology or to seek an explanation for the causes and major determinants of individual differences in concepts derived from these disciplines. The editors are concerned with both genetic and environmental causes, and they are particularly interested in possible interaction effects.
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