Scaling-up assessment from a contextual behavioral science perspective: Potential uses of technology for analysis of unstructured text data

被引：5

作者：

Berkout, Olga V. ^{[1
]}

Cathey, Angela J. ^{[2
]}

Kellum, Karen Kate ^{[3
]}

机构：

[1] Texas A&M Corpus Christi, Dept Psychol, 6300 Ocean Dr, Corpus Christi, TX 78412 USA

[2] ENSO Grp, Behav Sci 21st Century, Dallas, TX USA

[3] Univ Mississippi, Dept Psychol, University, MS 38677 USA

来源：

JOURNAL OF CONTEXTUAL BEHAVIORAL SCIENCE | 2019年 / 12卷

关键词：

Technology; Contextual behavioral science; Assessment; Natural language processing; PSYCHOLOGICAL FLEXIBILITY; SOCIAL MEDIA; VALIDITY; THERAPY; ETHICS; SELF; WEB;

D O I：

10.1016/j.jcbs.2018.06.007

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

With technological advancement, we have increased access to unstructured text data and the means to analyze it. Such information is available from electronic health records, blogs, social media posts, and other sources and is being used in business applications and social science research. These approaches can open up new areas for analysis, summarize massive amounts of information, and provide rapid feedback. Contextual behavioral science research in this area remains extremely limited. This manuscript provides an overview of techniques suitable for beginners interested in such analyses, potential applications, and resources for learning more.

引用

页码：216 / 224

页数：9