Multiple Identities and Sources of Reflected Appraisals in Identity Theory

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
M. Gallagher, K. Marcussen, R. Serpe
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引用次数: 4

Abstract

Identity theory assumes that individuals seek identity verification in the form of consistency between the meanings implied by perceived feedback from others (reflected appraisals) and their own self-meanings (identity standards) during social interaction. When there is a lack of identity verification (discrepancy), individuals experience negative outcomes such as psychological distress. Most adults hold multiple identities, and discrepancies in certain identities may cause more distress than others. Moreover, reflected appraisals come from various sources, and discrepancies with certain sources may be more influential than others. Yet most research on identity verification has not included multiple identities or multiple sources of reflected appraisals. We use structural equation modeling to simultaneously investigate associations between identity discrepancies with four sources of reflected appraisals (spouse, family, friends, and others in general) and distress (depressive symptoms) in a sample of 735 respondents who occupy three identities (spouse/partner, parent, and religious). We find that discrepancies in more obligatory identities and those involving reflected appraisals from more proximal sources of feedback are most consistently associated with depressive symptoms. Implications of these findings for advancing identity theory and research are discussed.
同一性理论中的多重同一性及其反思性评价的来源
身份理论假设,个体在社会互动过程中,以他人感知反馈(反映的评价)所隐含的含义与自己的自我含义(身份标准)之间的一致性的形式寻求身份验证。当缺乏身份验证(差异)时,个体会经历负面结果,如心理困扰。大多数成年人拥有多种身份,某些身份的差异可能会比其他人造成更多的痛苦。此外,反映的评估来自各种来源,与某些来源的差异可能比其他来源更具影响力。然而,大多数关于身份验证的研究都没有包括多重身份或反映评估的多种来源。我们使用结构方程模型同时调查了735名具有三种身份(配偶/伴侣、父母和宗教)的受访者的身份差异与四种反映评价来源(配偶、家人、朋友和其他人)和痛苦(抑郁症状)之间的关联。我们发现,在更强制性的身份和那些涉及来自更接近反馈来源的反映评估的身份上的差异与抑郁症状最为一致。讨论了这些发现对推进同一性理论和研究的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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