当我六十四岁时...在健康老龄化叙述中评估福祉的语言标记
Tabea Meier1,2,3,4, Matthias R Mehl5, Mike Martin1,2,3,6,7
1Department of Psychology, University of Zurich, Zurich, Switzerland.
PloS one
|April 24, 2024
概括
在自然语言中分析单词选择可以揭示心理健康. 这项研究验证了一种语言标记模型,表明它们可靠地预测福祉组件和潜在过程.
科学领域:
- 心理学 心理学 心理学
- 语言学的语言学.
- 老年学是指老年学的学科.
背景情况:
- 自我报告措施是评估福祉的常见方法.
- 自然语言的使用为理解心理过程提供了一个互补的方法.
- 词汇选择可以反映整个生命周期内潜在的心理状态.
研究的目的:
- 提出和经验验证一种语言标志物对幸福感的概念模型.
- 调查语言标记与已建立的福利措施之间的关系.
- 探索自然语言分析在评估福祉方面的潜力.
主要方法:
- 利用一个横截面的研究设计与关于健康衰老的书面叙述 (N = 701).
- 使用语言查询和词数 (LIWC) 来识别语言标记的计算机化文本分析.
- 验证了概念模型与30个已建立的自我报告幸福感子尺度相对应.
主要成果:
- 确定了语言标记者的三组模型:情感,评估和社会过程.
- 证明这些语言标记可靠地预测福祉的核心组成部分.
- 支持语言标记模型的并发有效性,表明对福祉的预测.
结论:
- 基于语言的测量,反映了不那么有意识的过程,为福祉评估提供了额外的好处.
- 经过验证的概念模型为从自然语言中推断幸福感提供了基础.
- 未来的研究应该进一步验证语言标记在整个生命周期以理论上知情的方式.
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