Suppr超能文献

梦境的现象学特征:使用主观体验评定量表(SERS)的梦境记录研究结果。

Phenomenological features of dreams: Results from dream log studies using the Subjective Experiences Rating Scale (SERS).

作者信息

Kahan Tracey L, Claudatos Stephanie

机构信息

Department of Psychology, Santa Clara University, United States.

Department of Psychology, Santa Clara University, United States.

出版信息

Conscious Cogn. 2016 Apr;41:159-76. doi: 10.1016/j.concog.2016.02.007. Epub 2016 Mar 2.

Abstract

Self-ratings of dream experiences were obtained from 144 college women for 788 dreams, using the Subjective Experiences Rating Scale (SERS). Consistent with past studies, dreams were characterized by a greater prevalence of vision, audition, and movement than smell, touch, or taste, by both positive and negative emotion, and by a range of cognitive processes. A Principal Components Analysis of SERS ratings revealed ten subscales: four sensory, three affective, one cognitive, and two structural (events/actions, locations). Correlations (Pearson r) among subscale means showed a stronger relationship among the process-oriented features (sensory, cognitive, affective) than between the process-oriented and content-centered (structural) features--a pattern predicted from past research (e.g., Bulkeley & Kahan, 2008). Notably, cognition and positive emotion were associated with a greater number of other phenomenal features than was negative emotion; these findings are consistent with studies of the qualitative features of waking autobiographical memory (e.g., Fredrickson, 2001).

摘要

使用主观体验评定量表(SERS),从144名大学女生的788个梦境中获取了梦境体验的自我评定。与以往研究一致,梦境的特点是视觉、听觉和运动出现的频率高于嗅觉、触觉或味觉,同时包含积极和消极情绪以及一系列认知过程。对SERS评定进行的主成分分析揭示了十个分量表:四个感觉分量表、三个情感分量表、一个认知分量表和两个结构分量表(事件/动作、地点)。分量表均值之间的相关性(皮尔逊r)表明,与以过程为导向的特征(感觉、认知、情感)之间的关系比与以过程为导向和以内容为中心的(结构)特征之间的关系更强——这一模式是根据以往研究预测得出的(例如,Bulkeley & Kahan,2008)。值得注意的是,与消极情绪相比,认知和积极情绪与更多其他现象特征相关;这些发现与清醒时自传体记忆的质性特征研究一致(例如,Fredrickson,2001)。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验