Cohen Shuki J
Psychology Department, John Jay College of Criminal Justice, City University of New York, 445 W 59th St. rm #2402, New York, NY 10019, USA.
J Psycholinguist Res. 2011 Apr;40(2):119-35. doi: 10.1007/s10936-010-9158-7.
This study presents a novel methodology for the measurement of negativity bias using positive and negative dictionaries of emotion words applied to autobiographical narratives. At odds with the cognitive theory of mood dysregulation, previous text-analytical studies have failed to find significant correlation between emotion dictionaries and negative affectivity or dysphoria. In the present study, an a priori list dictionary of emotion words was refined based on the actual use of these words in personal narratives collected from close to 500 college students. Half of the corpus was used to construct, via concordance analysis, the grammatical structures associated with the words in their emotional sense. The second half of the corpus served as a validation corpus. The resulting dictionary ignores words that are not used in their intended emotional sense, including negated emotions, homophones, frozen idioms etc. Correlations of the resulting corpus-based negative and positive emotion dictionaries with self-report measures of negative affectivity were in the expected direction, and were statistically significant, with medium effect size. The potential use of these dictionaries as implicit measures of negativity bias and in the analysis of psychotherapy transcripts is discussed.
本研究提出了一种新颖的方法，用于使用适用于自传体叙事的积极和消极情感词汇词典来测量消极偏差。与情绪失调的认知理论不同，先前的文本分析研究未能发现情感词典与消极情感或烦躁不安之间存在显著相关性。在本研究中，根据从近500名大学生收集的个人叙事中这些词汇的实际使用情况，对一个先验的情感词汇列表词典进行了完善。语料库的一半用于通过一致性分析构建与具有情感意义的词汇相关的语法结构。语料库的另一半用作验证语料库。最终的词典忽略了未按预期情感意义使用的词汇，包括否定情绪、同音词、固定习语等。基于语料库得出的消极和积极情感词典与消极情感的自我报告测量之间的相关性符合预期方向，且具有统计学意义，效应量为中等。讨论了这些词典作为消极偏差的隐性测量方法以及在心理治疗转录本分析中的潜在用途。
