Revealing dimensions of thinking in open-ended self-descriptions: An automated meaning extraction method for natural language

Revealing dimensions of thinking in open-ended self-descriptions: An automated meaning extraction method for natural language
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DOI:
10.1016/j.jrp.2007.04.006
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发表时间:
2008-02-01
影响因子:
3.3
通讯作者:
Pennebaker, James W.
Pennebaker, James W.
中科院分区:
心理学2区
文献类型:
--
作者:
Chung, Cindy K.;Pennebaker, James W.

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介绍了一种从书面文本中提取共同主题的新方法,并将其应用于1165篇开放式自述叙事中。通过使用计算机文本分析工具,运用词汇分析个性的方法,确定了大学生所写的叙述中最常用的形容词。对这些形容词在自我描述中的使用进行了因素分析,得出了由心理意义维度组成的7个因素的解决方案。一些维度是单极的(例如,消极因素,其中大多数加载的条目是负价形容词);另一些维度是语义相反的词聚集在一起(例如,社交因素,其中诸如害羞、外向、内向和吵闹等术语都加载在同一方向上)。这些因素在不同类型的写作样本中表现出一定的信度,并与自我报告和与维度一致的行为相关。对其他实词(形容词、副词、名词和动词)的类似分析得出了与外表、学校、人际关系等相关的额外心理维度,在这些维度中,人们将自己的自我概念联系起来。结果表明,意义提取方法是一种很有前途的策略,它决定了人们思考自己的维度。(C)2007 Elsevier Inc.保留所有权利。
A new method for extracting common themes from written text is introduced and applied to 1165 open-ended self-descriptive narratives. Drawing on a lexical approach to personality, the most commonly-used adjectives within narratives written by college students were identified using computerized text analytic tools. A factor analysis on the use of these adjectives in the self-descriptions produced a 7-factor solution consisting of psychologically meaningful dimensions. Some dimensions were unipolar (e.g., Negativity factor, wherein most loaded items were negatively valenced adjectives); others were dimensional in that semantically opposite words clustered together (e.g., Sociability factor, wherein terms such as shy, outgoing, reserved, and loud all loaded in the same direction). The factors exhibited modest reliability across different types of writing samples and were correlated with self-reports and behaviors consistent with the dimensions. Similar analyses with additional content words (adjectives, adverbs, nouns, and verbs) yielded additional psychological dimensions associated with physical appearance, school, relationships, etc. in which people contextualize their self-concepts. The results suggest that the meaning extraction method is a promising strategy that determines the dimensions along which people think about themselves. (C) 2007 Elsevier Inc. All rights reserved.