Finding values in words: Using natural language to detect regional variations in personal concerns.
Finding values in words: Using natural language to detect regional variations in personal concerns.
复制标题
在文字中寻找价值：使用自然语言来检测个人关注点的区域差异。
DOI：
10.1037/14272-011
复制
发表时间：
2014
影响因子：
3
通讯作者：
J. Pennebaker
中科院分区：
文献类型：
--
作者：
Cindy K. Chung;P. Rentfrow;J. Pennebaker
在这一章中，我们提出的方法，在个人关注的地区差异，可以有效地评估在自然语言中，无论是在开放式的调查和文化产品，一种文化的出版的话。我们开始描述为什么个人问题最好用自然语言引起。接下来，我们回顾了最近的研究，这些研究在开放式调查和前所未有的大量文化产品中评估了自然语言中的个人关注。最后，我们说明了在美国各地的开放式论文中表达的个人关注的评估，从“我相信，”美国人的价值观档案项目。本章介绍了方法论工具包的进展，这些工具包使心理学家能够在时间和地点上引出并有效地研究个人关注的问题。（PsycInfo数据库记录（c）2024阿帕，保留所有权利）
In this chapter, we present ways in which regional variations in personal concerns can be efficiently assessed in natural language—both in open-ended surveys and in cultural products, the published words of a culture. We begin by describing why personal concerns are best elicited in natural language. Next, we review recent studies that have assessed personal concerns in natural language within open-ended surveys and in unprecedentedly large numbers of cultural products. Finally, we illustrate the assessment of personal concerns expressed in open-ended essays across the United States from “This I Believe,” an archival project on the values of Americans. This chapter, then, provides an introduction to the advances in methodological toolkits that are enabling psychologists to elicit and to efficiently study personal concerns in time and place.(PsycInfo Database Record (c) 2024 APA, all rights reserved)