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Fractal Dynamics in Self-Evaluation Reveal Self-Concept Clarity

机译:自我评估中的分形动力学揭示了自我概念的清晰度

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The structural account of self-esteem and self-evaluation maintains that they are distinct constructs. Trait self-esteem is stable and is expressed over macro timescales, whereas state self-evaluation is unstable and experienced on micro timescales. We compared predictions based on the structural account with those derived from a dynamical systems perspective on the self which maintains that self-esteem and self-evaluation are hierarchically related and share basic dynamic properties. Participants recorded a 3-minute narrative about themselves, then used the mouse paradigm (Vallacher, Nowak, Froehlich, & Rockloff 2002) to track the momentary self-evaluation in their narrative. Multiple methods converged to reveal fractal patterns in the resultant temporal patterns, indicative of nested timescales that link micro and macro self-evaluation and thus supportive of the dynamical account. The fractal dynamics were associated with participants' self-concept clarity, suggesting that the hierarchical relation between macro self-evaluation (self-esteem) and momentary self-evaluation is predicted by the coherence of self-concept organization.
机译:自尊和自我评价的结构性说明认为它们是不同的结构。特质自尊是稳定的,并在宏观时间尺度上表达,而状态自我评价则是不稳定的,并在微观时间尺度上经历。我们将基于结构账户的预测与从自我的动力系统角度得出的预测进行了比较,该预测认为自尊和自我评估是层次相关的,并具有基本的动态特性。参与者记录了一个3分钟的关于自己的叙述,然后使用鼠标范例(Vallacher,Nowak,Froehlich和Rockloff 2002)来追踪他们叙述中的瞬时自我评价。多种方法趋于融合,以揭示最终时间模式中的分形模式,这表明了链接微观和宏观自我评估的嵌套时间尺度,从而支持了动态账户。分形动力学与参与者的自我概念清晰性相关,这表明宏观自我评价(自尊)和瞬时自我评价之间的等级关系是通过自我概念组织的连贯性来预测的。

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