A Multi-Component Model of the Self

自我的多成分模型

• 批准号: 6677035
• 负责人: SIDDHARTH CHANDRA
• 金额: $ 13.37万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-17 至 2005-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6677035
• 关键词: Internet; behavior; behavioral /social science research tag; clinical research; human subject; identity; mathematical model; mental health; model design /development; psychological models; psychology; quality of life; questionnaires; self concept; statistics /biometry; university student

DESCRIPTION (provided by applicant): The self-concept is viewed as a cognitive structure composed of multiple self-referent constructs (or "selves"), each of which has a distinct positive or negative valence or content and is of varying levels of importance to the individual. The level, degree, and complexity of organization and structure that these selves have within the self-concept has implications for understanding responses to environmental events, mood, information processing, and regulation of behavior. Rarely, though, are the multiple selves that compose the self-concept investigated in the context of a single study. Moreover, while issues of how the valence or content of particular selves relates to the overall structure of the self-concept have only been articulated in recent theoretical formulations, self-schema theory has not addressed how valence, content, and structure interact. Finally, most studies of the self-concept are conducted within single or perhaps a few laboratory sessions. Critical issues of how content and structure may vary over time are rarely addressed. The overall aim of this exploratory/developmental R21 application is to advance self-schema theory, specifically by analyzing how multiple self-schemas, each with varying degrees of positive and negative valence, relate to the structure and organization of the self-concept over time. We modify a theory from finance, portfolio theory, to achieve this overall aim. Portfolio theory provides an explicit means for understanding the relationship between individual components of a system and the overall structure and behavior of that system. It provides a precise model for analyzing the content and structure of the multiple self-schemas that comprise the self-concept over time, and enables detailed predictions to be made. The proposed study will follow a sample of n = 80 subjects for a period of 90 days, during which they will complete, in a secure internet-based format, surveys on the self-schemas that were activated on each of those 90 days. This rich source of data will be used (i) to test a number of central predictions of the portfolio model of the self-concept, including the role of diversification of the self-concept across selves in determining adaptation and adjustment outcomes, and (ii) to generate additional hypotheses about how the structure and content of the self-concept relate to adaptation and adjustment.

描述（由申请人提供）：自我概念被视为由多个自我指涉结构（或“自我”）组成的认知结构，每个自我指涉结构具有不同的积极或消极效价或内容，并且对个体具有不同的重要性水平。这些自我在自我概念中所具有的组织和结构的水平、程度和复杂性对于理解对环境事件、情绪、信息处理和行为调节的反应具有意义。然而，很少有多个自我组成的自我概念调查的背景下，一个单一的研究。此外，虽然关于特定自我的效价或内容如何与自我概念的整体结构相关的问题只在最近的理论表述中被阐明，但自我图式理论并没有解决效价、内容和结构如何相互作用的问题。最后，大多数关于自我概念的研究都是在一次或几次实验中进行的。内容和结构如何随时间变化的关键问题很少得到解决。 这种探索性/发展性R21应用程序的总体目标是推进自我图式理论，特别是通过分析多个自我图式，每个具有不同程度的积极和消极效价，随着时间的推移与自我概念的结构和组织。我们修改了一个来自金融学的理论，投资组合理论，以实现这一总体目标。投资组合理论提供了一种明确的方法来理解系统的各个组成部分与该系统的整体结构和行为之间的关系。它提供了一个精确的模型，用于分析随着时间的推移，包括自我概念的多个自我图式的内容和结构，并使详细的预测。拟议的研究将跟踪n = 80名受试者的样本，为期90天，在此期间，他们将以安全的基于互联网的格式完成对这90天中每一天激活的自我图式的调查。这个丰富的数据来源将被用来（i）测试自我概念的投资组合模型的一些中心预测，包括自我概念的多样化在确定适应和调整结果中的作用，以及（ii）生成关于自我概念的结构和内容如何与适应和调整相关的其他假设。