Flourishing Modeling Based on Behavioral Activation and Inhibition Systems Mediated by Dark Personality in PhD Students in Humanities

Hashemi Tonekaboni, Seyed Berouz; Asadzadeh, Hassan; Isamorad, Abolghasem; Robatmili, Somayeh

Volume 12 - Articles-1401 MEJDS (2022) 12: 175 | Back to browse issues page

Mendeley

Zotero

RefWorks

Hashemi Tonekaboni S B, Asadzadeh H, Isamorad A, Robatmili S. Flourishing Modeling Based on Behavioral Activation and Inhibition Systems Mediated by Dark Personality in PhD Students in Humanities. MEJDS 2022; 12 :175-175
URL: http://jdisabilstud.org/article-1-2440-en.html

Flourishing Modeling Based on Behavioral Activation and Inhibition Systems Mediated by Dark Personality in PhD Students in Humanities

Seyed Berouz Hashemi Tonekaboni¹

, Hassan Asadzadeh ^*²

, Abolghasem Isamorad³

, Somayeh Robatmili⁴

1- PhD Student of Department of General Psychology, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- Associate Professor of Department of Educational Psychology, Allameh Tabataba'i University, Tehran, Iran
3- Associate Professor of Department of Clinical Psychology, Allameh Tabatabai University, Tehran, Iran
4- Assistant Professor of Department of Clinical Psychology, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract: (1069 Views)

Background & Objective: Behavioral activation and inhibition systems play a key role in regulating emotions, and a disorder in any of these systems can lead to disabilities in individuals. Also, these people are ready to grow and improve and expand their abilities, and they can establish sincere and reliable relationships with others. Behavioral activation and inhibition systems play an essential role in regulating emotions, and a disorder in each system can lead to disabilities in individuals. This study aimed to model flourishing based on the system of activation and behavioral inhibition mediated by dark personality in PhD students in the humanities.
Methods: The present study was a structural equation modeling. The study's statistical population included all PhD students in humanities (N=1621) studying at Islamic Azad University, Science and Research Branch of Tehran, in the academic year 2019–2020. Of whom, 770 volunteer students were recruited by the available sampling method. In this study, the following questionnaires were used to collect the required data. First, we used the behavioral activation and inhibition system questionnaire. This scale was developed by Carver and White (1994) and includes 20 self–reported questions. The behavioral inhibition subscale in this questionnaire consists of 7 items that measure the sensitivity of the behavioral inhibition system or response to the threat and the feeling of anxiety when faced with threatening symptoms. The behavioral activation subscale consists of 13 items and measures the sensitivity of the behavioral activation system personality questionnaire. This questionnaire was developed by Jones and Palhes (2014) and has 28 questions, and its purpose is to examine dark personality traits (narcissism, psychopath, Machiavelli). This questionnaire is based on the Likert scale. The flourishing questionnaire was developed by Soleimani et al. (2015) and has 28 questions. This questionnaire is scored on a 6–point Likert scale. The questionnaire has 4 sub–components: Positive emotions, relationships, meaning, and progress. In this study, we used mean and standard deviation in the descriptive findings section and the Kolmogorov–Smirnov test in the inferential findings section to check the normality of the data. The obtained data were analyzed using structural equation modeling at a significance level of 0.05 in SPSS version 24 and Amos version 22.
Results: Direct effects of behavioral inhibition system on dark personality (p=0.001, β=0.284), behavioral activation system on dark personality (p=0.008, β=–0.191), behavioral inhibition system on flowering (p=0.001, β=–0.351), behavioral activation system on flowering (p=0.001, β=0.603) and dark personality on flowering (p=0.001, β=–0.344) were significant. On the other hand, the indirect effects of the behavioral activation system on flowering mediated by dark personality (p=0.027, β=0.066) and the system of behavioral inhibition on flowering mediated by dark personality (p=0.003, β=–0.097) were significant. Also, the effects of the whole behavioral inhibition system on flowering (p=0.001, β=–0.445) and behavioral activation system on flowering (p=0.001, β= 0.669) were significant. On the other hand, the results showed that the effects of the whole behavioral inhibition system on flowering (p=0.001, β=–0.445) and the behavioral activation system on flowering (p=0.001, β=0.669) were significant. Also, the good fit indices indicated the proper fit of the model (χ²/df=2.98, AGFI=0.901, GFI=0.898, CFI=0.908, RMSEA=0.079).
Conclusion: Based on the results of this study, flourishing modeling based on the system of activation and behavioral inhibition mediated by dark personality is statistically significant, and the model has the necessary validity.

Keywords: Prosperity, Behavioral activation system, Behavioral inhibition system, Dark personality, Students

Full-Text [PDF 794 kb] (381 Downloads)

Type of Study: Original Research Article | Subject: Psychology

References

1. Li Y, Xu Y, Chen Z. Effects of the behavioral inhibition system (BIS), behavioral activation system (BAS), and emotion regulation on depression: a one-year follow-up study in Chinese adolescents. Psychiatry Res. 2015;230(2):287–93. [DOI]

2. Seid SH, Rajaei A, Borjali M. The effectiveness of group behavioral activation therapy on depression and identity crisis in patients with multiple sclerosis. Journal of Psychological Science. 2020;19(95):1507–71. [Persian] [Article]

3. O'Mahen HA, Moberly NJ, Wright KA. Trajectories of change in a group behavioral activation treatment for severe, recurrent depression. Behav Ther. 2019;50(3):504–14. [DOI]

4. Dimidjian S, Goodman SH, Sherwood NE, Simon GE, Ludman E, Gallop R, et al. A pragmatic randomized clinical trial of behavioral activation for depressed pregnant women. J Consult Clin Psychol. 2017;85(1):26–36. [DOI]

5. Amiri S, Yaghobi A, Gharehveysi S. An investigation into the relationships between emotional intelligence, behavioral activation system (BAS), behavioral inhibition system (BIS), and dark triad traits (machiavellianism, narcissism, and Psychopathy. Journal of Personality and Individual Differences. 2015;4(10):137–58. [Persian]

6. Soucy Chartier I, Provencher MD. Behavioural activation for depression: efficacy, effectiveness and dissemination. J Affect Disord. 2013;145(3):292–9. [DOI]

7. Dashti N, Abolghasemi A. The role of self- regulation, selfpresentation and dark triad personality in predicting social networking sites addiction in students of Ardabil university of medical sciences. Journal of Knowledge and Research in Applied Psychology. 2018;19(2):11–21. [Persian] [Article]

8. Mirzahoseini H, Arjmand S, Monirpour N. Yang schema model test to explain eating problems in people with personality disorders. Journal of Psychological Science. 2019;18(80):941–8. [Persian] [Article]

9. Manteghian E, Saberi H, Bashardoost S. Explaining the relationship between dark traits of personality (narcissism - psychopath - machiavellianism) and job burnout based on the intermediary role of perceived stress. Journal of Psychological Science. 2019;18(78):727–35. [Persian] [Article]

10. Jonason PK, Strosser GL, Kroll CH, Duineveld JJ, Baruffi SA. Valuing myself over others: the dark triad traits and moral and social values. Pers Individ Dif. 2015;81:102–6. [DOI]

11. Jones DN, Paulhus DL. Different provocations trigger aggression in narcissists and psychopaths. Soc Psychol Personal Sci. 2010;1(1):12–8. [DOI]

12. Wiens TK, Walker LJ. Examining the relationship between bright and dark personality traits in two management samples. Pers Individ Dif. 2019;141:92–100. [DOI]

13. Mosalman M, Hoseini A, Sadeghpoor M. Prediction of addiction readiness based on behavioral activation and inhibition of systems (BIS/BAS) and cognitive abilities among students in amol institute of higher education 2017–2018. Military Care Sciences. 2018;5(2):146–55. [Persian] [DOI]

14. Mazzucchelli T, Kane R, Rees C. Behavioral activation treatments for depression in adults: A meta-analysis and review. Clinical Psychology: Science and Practice. 2009;16(4):383–411. [DOI]

15. Jones DN, Weiser DA. Differential infidelity patterns among the dark triad. Pers Individ Dif. 2014;57:20–4. [DOI]

16. Sharifiniya MA, Haroonrashidi H. The relationship between the dark traits of personality and emotional expressiveness with satisfaction of life among the military personnel in Ahvaz, Iran. Journal of Military Psychology. 2020;11(41):41–9. [Persian] [Article]

17. Kianersi F, Mojabi N. Examining the contribution of sense of coherence and self-compassion in predicting flourishing in university students. Journal of New Thoughts on Education. 2018;14(2):247–61. [Persian] [Article]

18. Roth RA, Suldo SM, Ferron JM. Improving middle school students' subjective well-being: efficacy of a multicomponent positive psychology intervention targeting small groups of youth. School Psychology Review. 2017;46(1):21–41.

19. Keyes CLM. Promoting and protecting mental health as flourishing: a complementary strategy for improving national mental health. Am Psychol. 2007;62(2):95–108. [DOI]

20. Faulk KE, Gloria CT, Steinhardt MA. Coping profiles characterize individual flourishing, languishing, and depression. Anxiety Stress Coping. 2013;26(4):378–90. [DOI]

21. Shankland R, Rosset E. Review of brief school-based positive psychological interventions: a taster for teachers and educators. Educ Psychol Rev. 2017;29(2):363–92. [DOI]

22. Huppert FA, So TTC. Flourishing across Europe: application of a new conceptual framework for defining well-being. Soc Indic Res. 2013;110(3):837–61. [DOI]

23. Guney S. The Positive Psychotherapy Inventory (PPTI): reliability and validity study in Turkish population. Procedia - Social and Behavioral Sciences. 2011;29:81–6. [DOI]

24. Gonzales TR, Ehrenzweig Y, Gracida ODS, Hernandez CBE, Mora GL, Martinez AJ, et al. Promotion of individual happiness and wellbeing of students by a positive education intervention. Journal of Behavior, Health & Social Issues. 2013;5(2):79–102. [DOI]

25. Gokcen N, Hefferon K, Attree E. University students'constructions of 'flourishing' in British higher education: an inductive content analysis. International Journal of Wellbeing. 2012;2(1):1–21. [DOI]

26. Elfrink TR, Goldberg JM, Schreurs KM, Bohlmeijer ET, Clarke AM. Positive educative programme: A whole school approach to supporting children's well-being and creating a positive school climate: a pilot study. Health Education. 2017;117(2):215–30.

27. Hooman HA. Structural equation modeling with LISREL application. Tehran: Samt Pub; 2018. [Persian]

28. Carver CS, White TL. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scale. J Pers Soc Psychol. 1994;67(2):319–33. [DOI]

29. Khanjani Z, Mohammadi F, Hashemi T, Bakhshipour A, Beyrami M. Tasire system haye maghzi raftari va avatef bar neshane haye ab'aadi vasvasi jabri [The effect of behavioral brain systems and emotions on the dimensional symptoms of OCD]. Journal of Kermanshah University of Medical Sciences. 2014;18(2):80–91. [Persian]

30. Ghamrani A, Samadi M, Taghinejad M, Shamsi A. The study of the validity and reliability of The Dark Personality Scale in students. Journal of Psychological Methods and Models. 2015;6(20):73–86. [Persian] [Article]

31. Soleymani S, Alidoosti F, Rezaiee AM, Barani M. Psychometric properties of The Flourishing Questionnaire (HFQ) among Iranian students. Journal of Educational Measurement. 2017;7(27):83–102. [Persian] [Article]

32. Becker JM, Klein K, Wetzels M. Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Planning. 2012;45(5–6):359–94. [DOI]

33. Dehghani Y, Hekmatiyan Fard S. The role of early maladaptive schemas, behavioral activation – inhibition systems, and cognitive emotion regulation strategies in predicting the social anxiety within the students with learning disorder. Journal of Exceptional Children. 2020;19(4):77–90. [Persian] [Article]