ОНЛАЙН КОГНІТИВНО-ПОВЕДІНКОВА ТЕРАПІЯ ЕМОЦІЙНОГО ДИСТРЕСУ СТУДЕНТІВ У ПЕРІОД ПАНДЕМІЇ COVID-19

Author(s):  
Лариса Засєкіна

Мета. COVID-19 пандемія на сучасному етапі трансформується у  другу хвилю пандемії, пов’язану з пандемією розладів психічного здоров’я. Незважаючи на той факт, що студенти упродовж тривалого часу не вважалися вразливою категорією населення у період пандемії, результати останніх досліджень доводять, що вони переживають актуальний стрес, тривожність, самотність та депресію в умовах вимушеної соціальної ізоляції. Мета дослідження полягає в емпіричному вивченні емоційного дистресу студентів під час пандемії COVID-19, та науковому обґрунтуванні авторського онлайн ресурсу, базованому на когнітивно-поведінковій терапії (КПТ). Методи. У дослідженні використовувалися методи теоретичного та емпіричного дослідження, зокрема психодіагностичний інструментарій, представлений  шкалою  психологічного благополуччя К. Ріфф, шкалою депресії А. Бека, шкалою резілієнтності  С. Хамса та ін., шкалою тривоги А. Бека. Для тематичного аналізу творів студентів використовувалася комп'ютерна програма Linguistic  Inquiry  and  Word  Count (LIWC). Результати дослідження психологічного благополуччя свідчать про те, що  найнижчий рівень вираження мають субшкали позитивного ставлення до інших, самоприйняття, цілі в житті та управління оточенням. Тому при розробці онлайн ресурсу саме ці аспекти психологічного благополуччя були враховані. Результати лінійного регресійного аналізу свідчать про те, що тривожність, депресія та резілієнтність сукупно є значущим предиктором психологічного благополуччя.  Водночас лише депресія є незалежним значущим предиктором психологічного благополуччя студентів. Враховуючи тривожність та самотність як основні проблеми, про які зазначали студенти у своїх творах, а також соціальну тривожність, яка зростає в умовах неможливості вдосконалювати комунікативні вміння під час пандемії, ресурс був спрямований на зменшення цих негативних емоційні станів. Відповідно до трьох блоків онлайн ресурс отримав назву 3 (ТРИвожність) D (Депресія) САМ (САМотність). Аналіз виділених категорій когнітивних процесів, афектів, часу у творах студентів та методологічні засади КПТ дали змогу вибудувати зміст та структуру онлайн ресурсу для студентів. Висновки. Онлайн КПТ є важливим інноваційним форматом надання психологічної самодопомоги студентам в умовах соціальної ізоляції.

Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.


2013 ◽  
Vol 23 (1) ◽  
pp. 6-14
Author(s):  
Corrin G. Richels ◽  
Rogge Jessica

Purpose: Deficits in the ability to use emotion vocabulary may result in difficulties for adolescents who stutter (AWS) and may contribute to disfluencies and stuttering. In this project, we aimed to describe the emotion words used during conversational speech by AWS. Methods: Participants were 26 AWS between the ages of 12 years, 5 months and 15 years, 11 months-old (n=4 females, n=22 males). We drew personal narrative samples from the UCLASS database. We used Linguistic Inquiry and Word Count (LIWC) software to analyze data samples for numbers of emotion words. Results: Results indicated that the AWS produced significantly higher numbers of emotion words with a positive valence. AWS tended to use the same few positive emotion words to the near exclusion of words with negative emotion valence. Conclusion: A lack of diversity in emotion vocabulary may make it difficult for AWS to engage in meaningful discourse about negative aspects of being a person who stutters


2020 ◽  
Vol 35 (5) ◽  
pp. 336-343
Author(s):  
Katherine Guttmann ◽  
John Flibotte ◽  
Sara B. DeMauro ◽  
Holli Seitz

This study aimed to evaluate how parents of former neonatal intensive care unit patients with cerebral palsy perceive prognostic discussions following neuroimaging. Parent members of a cerebral palsy support network described memories of prognostic discussions after neuroimaging in the neonatal intensive care unit. We analyzed responses using Linguistic Inquiry and Word Count, manual content analysis, and thematic analysis. In 2015, a total of 463 parents met eligibility criteria and 266 provided free-text responses. Linguistic Inquiry and Word Count analysis showed that responses following neuroimaging contained negative emotion. The most common components identified through the content analysis included outcome, uncertainty, hope/hopelessness, and weakness in communication. Thematic analysis revealed 3 themes: (1) Information, (2) Communication, and (3) Impact. Parents of children with cerebral palsy report weakness in communication relating to prognosis, which persists in parents’ memories. Prospective work to develop interventions to improve communication between parents and providers in the neonatal intensive care unit is necessary.


2019 ◽  
Vol 41 (1) ◽  
pp. 37-52
Author(s):  
Tongxin Sun ◽  
Bu Zhong

A computer-aided semantic analysis (using Linguistic Inquiry and Word Count [LIWC]) examined how newspaper coverage of air pollution from 2014 to 2017 may affect the public agenda in four cities—Hong Kong, London, Pittsburgh, and Tianjin. Results show that after controlling for the real-time air quality, the agenda-setting effect was found in Hong Kong, London, and Pittsburgh, but not Tianjin. Tianjin’s reports also contained more future-framed words but fewer present-framed words than other cities.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Bonita Lee ◽  
Annisa Fitria ◽  
Henndy Ginting

The use of English in educational settings has become quite common in order to achieve global competitiveness. Given this fact, students are required to be fluent both in oral and written English. Unfortunately, the significant discrepancy is often found between the two. Students seemed to struggle when asked to elaborate their ideas in writing. With that in mind, this study would elaborate on the linguistic properties of students’ writings in order to understand the linguistic processes affecting such a discrepancy. Writings from a total of 205-business students were analysed using Linguistic Inquiry Word Count (LIWC2015) focusing on the linguistic and grammatical properties such as word counts, tenses associated words, adjectives, adverbs and so on. We found that our samples’ writing profile was significantly different from those of LIWC2015, especially in properties such word counts, six-letter words, verb and adjectives, as well as the use of I-related pronoun. For example, we found that our sample used a lot more difficult words while wrote less than half of the global population, suggesting their ability as well as unwillingness to write at the same time. With this main finding, we concluded that students come short in terms of critical literacy. In addition to that, we would also discuss the potential psychological implications (narcissistic tendency) as well as the differences between men and women styles in writing.


2016 ◽  
Vol 35 (6) ◽  
pp. 698-707 ◽  
Author(s):  
Jens H. Hellmann ◽  
Marijke Hannah Adelt ◽  
Regina Jucks

In the present experiment, participants read about the presence of many versus few others in typical student-life situations. They subsequently wrote an essay about their perspectives on learning in groups. Using the program Linguistic Inquiry and Word Count to analyze these essays signified that participants who read prompts that involved many (vs. few) other students used more first-person singular pronouns and fewer words related to others. We interpret this increase in self-focus as a consequence of induced social crowding.


2020 ◽  
pp. 0261927X2096564
Author(s):  
Kate G. Blackburn ◽  
Weixi Wang ◽  
Rhea Pedler ◽  
Rachel Thompson ◽  
Diana Gonzales

This study analyzed thousands of women’s online conversations in relation to their miscarriage or abortion experiences, classified as unplanned and planned traumas, respectively. Linguistic Inquiry Word Count text analysis revealed that people experiencing a planned trauma use distancing language patterns in higher frequency and engage in emotion regulation more than those who experienced trauma unexpectedly. On the other hand, planned trauma conversations used more self-focused language and more social-based language. Implications and future directions for trauma research are discussed.


2019 ◽  
Vol 26 (8-9) ◽  
pp. 759-766 ◽  
Author(s):  
Young Ji Lee ◽  
Charles Kamen ◽  
Liz Margolies ◽  
Ulrike Boehmer

Abstract Objective The study sought to explore online health communities (OHCs) for sexual minority women (SMW) with cancer by conducting computational text analysis on posts. Materials and Methods Eight moderated OHCs were hosted by the National LGBT Cancer Network from 2013 to 2015. Forty-six SMW wrote a total of 885 posts across the OHCs, which were analyzed using Linguistic Inquiry and Word Count and latent Dirichlet allocation. Pearson correlation was calculated between Linguistic Inquiry and Word Count word categories and participant engagement in the OHCs. Latent Dirichlet allocation was used to derive main topics. Results Participants (average age 46 years; 89% white/non-Hispanic) who used more sadness, female-reference, drives, and religion-related words were more likely to post in the OHCs. Ten topics emerged: coping, holidays and vacation, cancer diagnosis and treatment, structure of day-to-day life, self-care, loved ones, physical recovery, support systems, body image, and symptom management. Coping was the most common topic; symptom management was the least common topic. Discussion Highly engaged SMW in the OHCs connected to others via their shared female gender identity. Topics discussed in these OHCs were similar to OHCs for heterosexual women, and sexual identity was not a dominant topic. The presence of OHC moderators may have driven participation. Formal comparison between sexual minority and heterosexual women’s OHCs are needed. Conclusions Our findings contribute to a better understanding of the experiences of SMW cancer survivors and can inform the development of tailored OHC-based interventions for SMW who are survivors of cancer.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Shanna Mary Williams ◽  
Victoria Talwar ◽  
R. C. L. Lindsay ◽  
Nicholas Bala ◽  
Kang Lee

Children’s (N = 48) and adults’ (N = 28) truthful and deceptive statements were compared using a linguistics-based computer software program. Children (4 to 7 years of age) and adults (18 to 25 years of age) participated in a mock courtroom experiment, in which they were asked to recount either a true or fabricated event. Testimonies were then analyzed using Linguistic Inquiry and Word Count Software (LIWC; Pennebaker et al. 2007). This software has been previously used to detect adults’ deceptive statements (e.g., Bond and Lee, 2005). To date, no research has used this method on children’s narratives, nor has this software been used to compare those narratives to adult counterparts. Markers generated through the LIWC program achieved detection rates of 72.40% for samples of both children’s and adults’ narratives combined. In contrast, adult laypersons’ (N = 48) detection rates, for the same narratives (i.e., both children and adults) were close to chance. More specifically, detection rates were above chance for truth (65.00%) and below chance for lies (45.00%). Thus, the linguistic profile provided through LIWC yielded greater accuracy for evaluating the veracity of children’s and adults’ narratives compared to adult laypersons’ detection accuracy.


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