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引入基于神经科学的评估工具:神经网络的发展和心理测量研究症状库存

Bruno Faustino^1,2, Isabel Fonseca²

¹Lusófona University, HEI-Lab: Digital Human-Environment Interaction Labs, Portugal.

Psychological reports

|January 17, 2024

概括

神经网络症状清单 (NNSI) 是一种新的自我报告工具. 在心理病理学中,它在评估与神经网络损伤相关的症状方面表现有前途.

科学领域:

神经科学是一个神经科学.
心理病理学心理病理学
心理测量心理测量心理测量

背景情况:

神经科学研究方法对于理解精神病理学中的神经障碍至关重要.
以前的研究将精神病理症状与特定神经网络的损伤联系起来.
这些神经网络损伤的验证自我报告测量方法以前没有.

研究的目的:

开发和进行神经网络症状库存 (NNSI) 的初步心理测量评估.
创建一个自我报告措施,评估与神经网络功能障碍相关的症状.

主要方法:

该研究涉及两个独立的样本 (N=214,N=194) 在一个横截面设计.
采用了标准规模开发程序,包括项目开发,探索性因素分析 (EFA) 和确认性因素分析 (CFA).
用皮尔森相关性来检查与其他措施的关系.

主要成果:

无论是EFA还是CFA都支持NNSI采用具有良好匹配指数的四因素模型.
所有NNSI子尺度都显示出与精神病理学领域的正相关性.
相反,NNSI子表显示了与心理健康的负相关性.

结论:

该NNSI显示潜力作为一个有效的工具来评估与神经网络损害相关的症状.
这项初步研究表明,NNSI在测量复杂的神经网络相关症状方面具有实用性.
需要进一步的研究来增强和验证NNSI的心理特征.

关键词:

证实性因素分析的使用.探索性因素分析是一种探索性因素分析.神经网络症状库存神经网络症状库存神经科学是一个神经科学.心理测量心理测量心理测量

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