一种自我评估的工具:非临床参与者的自我差异量表
Martine Bouvard1, Arnaud Carré2, Nathalie Fournet1
1Univ.Grenoble Alpes, Univ Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France.
Clinical neuropsychiatry
|January 22, 2025
概括
这项研究评估了新人群的自我差异量表 (S-DS),发现其抽象的子值比特征更好地预测人格特征. 结果提高了对自我差异评估的理解.
科学领域:
- 心理学 心理学 心理学
- 人格心理学 人格心理学
- 自我概念研究研究 自我概念研究
背景情况:
- 自我差异量表 (S-DS) 衡量了实际,理想和社会规定的自我之间的差异.
- 它使用了表达式 (特征认可) 和抽象 (总体判断) 的子谱.
- 之前的研究已经证明了它的实用性,但在不同人群中进一步验证是有益的.
研究的目的:
- 在一个新的非临床人群中评估S-DS.
- 为了扩展S-DS的收有效性的数据.
- 调查特征数据,并建立S-DS.特征的名词列表.
主要方法:
- 在非临床样本中进行了S-DS (N=422,平均年龄=23.26,90%为女性).
- 一个测量人格特征的问卷被纳入了融合有效性评估.
- 数据分析侧重于内部可靠性,子分数之间的相关性,以及通过人格特征预测差异.
主要成果:
- 内部可靠性不同于先前的研究;理想的理想自我 (WIT%) 与差异和痛苦的联系很弱.
- 抽象差异分数与人格特征 (例如神经病) 相比,与特征分数相比,抽象差异分数更好.
- 理想的和社会规定的自我包含了类似的想要和不想要的特征类别,理想的自我更支持想要的特征.
结论:
- 该研究提供了对自我差异的特征学方面进行了增强的评估.
- 调查结果支持S-DS. 的收有效性.
- 在这个样本中,抽象的子分数似乎是个性相关的更强大的预测器,而不是特征分数.
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