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MoodWheel应用程序:基于经验抽样方法评估情绪的新工具的验证和因子结构

Oana A David¹, Cristina Tomoiagă¹, Liviu A Fodor¹

¹Babeș-Bolyai University.

The Journal of general psychology

|July 19, 2024

概括

该MoodWheel应用程序准确地测量儿童和青少年的情绪,证明了良好的可靠性和有效性. 该工具支持痛苦的二元模型,为情绪评估提供了一种有价值的方法.

科学领域:

心理学心理学心理学
数字健康数字健康
情感科学是一种情感科学.

背景情况:

情绪轮 (MW) 是一种使用经验采样方法 (ESM) 进行情绪评估的新型应用程序.
它基于困境的环复合和二进制模型,结合了行为和心率 (HR) 测量.
该应用程序允许通过用户定义的额外措施进行个性化.

研究的目的:

评估MW应用程序的因数结构,可靠性和有效性.
评估MW在儿童和青少年群体中测量情绪的有效性.

主要方法:

从学校环境中招募了490名儿童和青少年.
使用Cronbach的alpha评估内部的一致性.
通过将MW分数与情绪困扰 (PED) 概况尺度相关联来评估并发有效性.

主要成果:

对于MW,表现出良好的内部一致性和测试-重新测试可靠性.
确认了申请的适当的融合有效性.
通过理性和非理性信念的预测价值,发现了支持痛苦二元模型的证据.

结论:

该MW应用程序是一个可靠和用户友好的工具,用于准确的情绪测量在青年.
未来的改进将包括额外的行为参数,以进行全面的评估.
这项研究证实了MW在评估情绪状态和痛苦模型中的实用性.

关键词:

美国电子商务管理局/欧洲货币交易所这是一个MoodWheel.生态时刻射线评估经验采样方法经验采样方法

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