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Inflexitext: A program assessing psychological inflexibility in unstructured verbal data
Journal of Contextual Behavioral Science ( IF 3.4 ) Pub Date : 2020-09-07 , DOI: 10.1016/j.jcbs.2020.09.002
Olga V. Berkout , Angela J. Cathey , Dmytry V. Berkout

This paper describes the development and initial support for Inflexitext, an automated program identifying psychological inflexibility in unstructured verbal data. Written in Python 3.7, Inflexitext produces a psychological inflexibility score based on patterns of word occurrence reflecting its contributing processes. Inflexitext performance was examined in a sample of 809 English speaking adults in the United States recruited using Amazon's Mechanical Turk platform. Participants wrote essays in response to a prompt to write about an emotional issue and completed self-report measures of distress and psychological flexibility relevant constructs. Participant essays were analyzed using Inflexitext and Linguistic Inquiry Word Count 2015 (LIWC), a popular text scoring program. Inflexitext scores demonstrated small positive correlations to self-report measures of experiential avoidance, cognitive fusion, challenges in progress towards one's values, and to symptoms of depression, anxiety, and stress and a medium positive correlation with LIWC coding of negative emotion. Inflexitext scores evidenced small negative correlations with progress towards one's values and LIWC scores on positive emotion. Overall, this initial examination provides preliminary support for the program, although further evaluation is needed and limitations are discussed. Potential applications for future development include unobtrusive ambient monitoring of verbal behavior and real time examination of psychological inflexibility as related to psychological functioning and therapeutic outcomes.



中文翻译:

非弹性文字:评估非结构性言语数据中心理非弹性的程序

本文介绍了Inflexitext的开发和初始支持,Inflexitext是一种自动程序,可识别非结构化语言数据中的心理僵硬。Inflexitext用Python 3.7编写,根据反映其贡献过程的单词出现模式产生心理上的不灵活性评分。使用亚马逊的Mechanical Turk平台在美国招募的809名英语为英语的成年人样本中检查了非弹性文字的表现。参与者写信是为了回应有关情感问题的提示,并完成了自我报告的遇险和心理柔韧性相关构造。使用流行文本评分程序Inflexitext和Linguistic Inquiry Word Count 2015(LIWC)对参与者的论文进行了分析。Inflexitext分数与自我报告的体验回避,认知融合,向自己的价值观发展的挑战以及抑郁,焦虑和压力症状的自我报告度量呈较小的正相关,与与LIWC编码的负面情绪呈中等正相关。非弹性文字得分证明与个人价值观的进步和积极情绪的LIWC得分之间存在小的负相关。总体而言,尽管需要进行进一步的评估并讨论了局限性,但此初步检查为该计划提供了初步支持。未来发展的潜在应用包括对语言行为的不干扰环境的监控以及与心理功能和治疗结果相关的心理僵硬的实时检查。认知融合,挑战自我价值观,抑郁,焦虑和压力症状,以及与LIWC负情绪编码的中等正相关。非弹性文字得分证明与个人价值观的进步和积极情绪的LIWC得分之间存在小的负相关。总体而言,尽管需要进行进一步的评估并讨论了局限性,但此初步检查为该计划提供了初步支持。未来发展的潜在应用包括对语言行为的不干扰环境的监控以及与心理功能和治疗结果相关的心理僵硬的实时检查。认知融合,挑战自我价值观,抑郁,焦虑和压力症状,以及与LIWC负情绪编码的中等正相关。非弹性文本得分证明与个人价值观的进步和积极情绪的LIWC得分之间存在小的负相关。总体而言,尽管需要进行进一步的评估并讨论了局限性,但此初步检查为该计划提供了初步支持。未来发展的潜在应用包括对语言行为的不干扰环境的监控以及与心理功能和治疗结果相关的心理僵硬的实时检查。与压力以及与LIWC负面情绪编码的中等正相关。非弹性文字得分证明与个人价值观的进步和积极情绪的LIWC得分之间存在小的负相关。总体而言,尽管需要进行进一步的评估并讨论了局限性,但此初步检查为该计划提供了初步支持。未来发展的潜在应用包括对语言行为的不干扰环境的监视以及与心理功能和治疗结果相关的心理僵硬的实时检查。与压力以及与LIWC负面情绪编码的中等正相关。非弹性文字得分证明与个人价值观的进步和积极情绪的LIWC得分之间存在小的负相关。总体而言,尽管需要进行进一步的评估并讨论了局限性,但此初步检查为该计划提供了初步支持。未来发展的潜在应用包括对语言行为的不干扰环境的监控以及与心理功能和治疗结果相关的心理僵硬的实时检查。尽管需要进一步评估并讨论了局限性。未来发展的潜在应用包括对语言行为的不干扰环境的监控以及与心理功能和治疗结果相关的心理僵硬的实时检查。尽管需要进一步评估并讨论了局限性。未来发展的潜在应用包括对语言行为的不干扰环境的监控以及与心理功能和治疗结果相关的心理僵硬的实时检查。

更新日期:2020-09-07
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