A Psychometric Evaluation of the Interpersonal Cognitive Distortions Scale: Implications for Mental Health and Quality of Life of College Students
DOI:
https://doi.org/10.56294/hl2025717Keywords:
interpersonal relationships, quality of life, interpersonal cognitive distortions scale, well-beingAbstract
Introduction: Interpersonal relationships are defined as mutual interactions as well as behaviours an individual experiences at varying levels. Interpersonal cognitive distortions have been found to affect the overall mental well-being of an individual and are also known to increase the risk of depression and suicide. The current study aims to establish psychometric properties of the Interpersonal Cognitive Distortions Scale among college students.
Methods: The current study is a descriptive study with a non-probability convenience sampling with a sample size of 297 participants.
Results: Face and content validity was adequately established for the scale. The scale has good internal consistency with a Cronbach’s alpha value of 0.910 and a Guttman split half coefficient of 0.83. The model showed a good fit with absolute indices such as x2, x2/df, TLI, NFI, CFI, RMR, RMSEA showing good fit value. The average variance extracted and composite reliability for all three factors were greater than 0.5 and 0.7 respectively thereby showing good convergent validity and composite reliability. The AVE values were greater than the squared intercorrelation, thereby showing good discriminant validity.
Conclusion: The scale had demonstrated good psychometric properties, and it is suitable to use in a college setting demonstrating significant relevance in the overall well-being of students thereby aiding practitioners, clinicians, and academicians in ensuring student health and wellness.
References
1. Pardede S, Kovač VB. Distinguishing the need to belong and sense of belongingness: The relation between need to belong and personal appraisals under two different belongingness-conditions. Eur J Investig Health Psychol Educ. 2023;13(2):331–44. http://dx.doi.org/10.3390/ejihpe13020025
2. Wickramaratne PJ, Yangchen T, Lepow L, Patra BG, Glicksburg B, Talati A, et al. Social connectedness as a determinant of mental health: A scoping review. PLoS One. 2022;17(10):e0275004. http://dx.doi.org/10.1371/journal.pone.0275004
3. McEvoy PM, Burgess MM, Nathan P. The relationship between interpersonal problems, negative cognitions, and outcomes from cognitive behavioural group therapy for depression. J Affect Disord. 2013;150(2):266–75. http://dx.doi.org/10.1016/j.jad.2013.04.005
4. Orehek E, Forest AL, Barbaro N. A people-as-means approach to interpersonal relationships. Perspect Psychol Sci. 2018;13(3):373–89. http://dx.doi.org/10.1177/1745691617744522
5. Canevello A, Crocker J. Interpersonal goals and close relationship processes: Potential links to health: Interpersonal goals and close relationship processes. Soc Personal Psychol Compass. 2011;5(6):346–58. http://dx.doi.org/10.1111/j.1751-9004.2011.00356.x
6. Cohen JR, Spiro CN, Young JF, Gibb BE, Hankin BL, Abela JRZ. Interpersonal risk profiles for youth depression: A person-centered, multi-wave, longitudinal study. J Abnorm Child Psychol. 2015;43(8):1415–26. http://dx.doi.org/10.1007/s10802-015-0023-x
7. Miller GE, Lachman ME, Chen E, Gruenewald TL, Karlamangla AS, Seeman TE. Pathways to resilience: maternal nurturance as a buffer against the effects of childhood poverty on metabolic syndrome at midlife: Maternal nurturance as a buffer against the effects of childhood poverty on metabolic syndrome at midlife. Psychol Sci. 2011;22(12):1591–9. http://dx.doi.org/10.1177/0956797611419170
8. Tian L, Zhang W, Chen G. Effects of parental support, friendship quality on loneliness and depression: To test an indirect effect model. Xin Li Xue Bao. 2014;46(2):238. http://dx.doi.org/10.3724/sp.j.1041.2014.00238
9. WHO. Depression and other common mental disorders: Global health estimates, Geneva, Switzerland: 2017
10. Santini ZI, Koyanagi A, Tyrovolas S, Mason C, Haro JM. The association between social relationships and depression: a systematic review. J Affect Disord. 2015;175:53–65. http://dx.doi.org/10.1016/j.jad.2014.12.049
11. Winterrowd E, Canetto SS, Chavez EL. Friendships and suicidality among Mexican American adolescent girls and boys. Death Stud. 2010;34(7):641–60. http://dx.doi.org/10.1080/07481181003765527
12. Rivers AS, Russon J, Winston-Lindeboom P, Ruan-Iu L, Diamond G. Family and peer relationships in a residential youth sample: Exploring unique, non-linear, and interactive associations with depressive symptoms and suicide risk. J Youth Adolesc. 2022;51(6):1062–73. http://dx.doi.org/10.1007/s10964-021-01524-x
13. Tonge NA, Lim MH, Piccirillo ML, Fernandez KC, Langer JK, Rodebaugh TL. Interpersonal problems in social anxiety disorder across different relational contexts. J Anxiety Disord. 2020;75(102275):102275. http://dx.doi.org/10.1016/j.janxdis.2020.102275
14. Triscoli C, Croy I, Sailer U. Depression predicts interpersonal problems partially through the attitude towards social touch. J Affect Disord. 2019;246:234–40. http://dx.doi.org/10.1016/j.jad.2018.12.054
15. Rognli EW, Waraan L, Czajkowski NO, Solbakken OA, Aalberg M. Conflict with parents in adolescent depression: Associations with parental interpersonal problems and depressive symptoms. Child Psychiatry Hum Dev. 2020;51(3):442–52. http://dx.doi.org/10.1007/s10578-020-00955-0
16. Sullivan HS, editor. The interpersonal theory of psychiatry. London, England: Routledge; 2013. http://dx.doi.org/10.4324/9781315014029
17. Wills TA, Bantum EO. Social support, self-regulation, and resilience in two populations: General-population adolescents and adult cancer survivors. J Soc Clin Psychol. 2012;31(6):568–92. http://dx.doi.org/10.1521/jscp.2012.31.6.568
18. Goodie AS, Fortune EE. Measuring cognitive distortions in pathological gambling: review and meta-analyses. Psychol Addict Behav. 2013;27(3):730–43. http://dx.doi.org/10.1037/a0031892
19. Rait S, Monsen JJ, Squires G. Cognitive Behaviour Therapies and their implications for applied educational psychology practice. Educ Psychol Pract. 2010;26(2):105–22. http://dx.doi.org/10.1080/02667361003768443
20. Alfrehat B, Jarwan A, Abu Zaid HY, Alshawashreh OM, Al-Balqa. Self-Defeating Behaviour and Its Relationship with Cognitive Distortion among Jordanian People. J ReAttach Ther Dev Divers. 2023: 2023. https://jrtdd.com
21. Partridge O, Maguire T, Newman-Taylor K. How does attachment style affect psychosis? A systematic review of causal mechanisms and guide to future inquiry. Psychol Psychother. 2022;95(1):345–80. http://dx.doi.org/10.1111/papt.12371
22. Filipović S, Vukosavljević-Gvozden T, Opačić G. Irrational beliefs, dysfunctional emotions, and marital adjustment: A structural model. J Fam Issues. 2016;37(16):2333–50. http://dx.doi.org/10.1177/0192513x15572384
23. Downey G., Feldman S., Ayduk O., “Rejection sensitivity and male violence in romantic relationships,” Personal Relationships, vol. 7, no. 1, pp. 45–61, 2000. https://doi.org/10.1111/j.1475-6811.2000.tb00003.x
24. Sultan R. Possible Self and its Relationship to Cognitive Euphoria among Distinguished Students in Distinguished Secondary Schools. Unpublished Master Thesis, College of Education for Girls, University of Baghdad, Baghdad, 2018.
25. Şimşek OM, Koçak O, Younis MZ. The impact of interpersonal cognitive distortions on satisfaction with life and the mediating role of loneliness. Sustainability. 2021;13(16):9293. http://dx.doi.org/10.3390/su13169293
26. Hamamci Z, Büyüköztürk S. The Interpersonal Cognitive Distortions Scale: development and psychometric characteristics. Psychol Rep. 2004;95(1):291–303. http://dx.doi.org/10.2466/pr0.95.1.291-303
27. Covin R, Dozois DJA, Ogniewicz A, Seeds PM. Cognitive Distortions Scale. PsycTESTS Dataset. American Psychological Association (APA); 2016.
28. Ara E. Measuring self-debasing cognitive distortions in youth. Int J Asian Soc Sci. 2016;6(12):705–12. http://dx.doi.org/10.18488/journal.1/2016.6.12/1.12.705.712
29. de Souza CLSG, Pires PP, Couto ISL, de Vasconcelos NSSM, Menezes IG, de Oliveira IR. Development and psychometric properties of the Cognitive Distortions Questionnaire for Adolescents (CD-Quest-T). Trends Psychiatry Psychother. 2023;45(1):e20210214. http://dx.doi.org/10.47626/2237-6089-2021-0214
30. Shakil M, Ali U, Ali AZ, Khan B. Psychometric analysis of cognitive distortions scale-urdu on patients diagnosed with mental disorders. J Pak Med Assoc. 2022;72(1):79–83. http://dx.doi.org/10.47391/JPMA.1989
31. Singh K, Junnarkar M, Kaur J. Measures of positive psychology: Development and validation. 1st ed. New Delhi, India: Springer; 2016.
32. Schmitt TA. Current methodological considerations in exploratory and confirmatory factor analysis. J Psychoeduc Assess. 2011;29(4):304–21. http://dx.doi.org/10.1177/0734282911406653
33. Goyal H, Aleem S. Confirmatory factor analysis (CFA) and psychometric validation of healthy lifestyle and personal control questionnaire (HLPCQ) in India. Indian J Community Med. 2023;48(3):430–5. http://dx.doi.org/10.4103/ijcm.ijcm_394_22
34. Tavakol M, Dennick R. Making sense of Cronbach’s’s alpha. Int J Med Educ. 2011;2:53–5. http://dx.doi.org/10.5116/ijme.4dfb.8dfd
35. Faremi YA. Reliability Coefficient of multiple-choice and short answer objective test items in basic technology: Comparative approach. Journal of Educational Policy and Entrepreneurial Research. 2016;3(3):59–69.
36. Reddy LS. Parigya Kulshrestha. Performing the KMO and Bartlett’s Test for Factors Estimating the Warehouse Efficiency, Inventory and Customer Contentment for E-retail Supply Chain. International Journal for Research in Engineering Application & Management. 2019; 9(1). https://doi.org/10.35291/2454-9150.2019.053
37. Burton LJ, Mazerolle SM. Survey instrument validity part I: Principles of survey instrument development and validation in athletic training education research. Athl Train Educ J. 2011;6(1):27–35. http://dx.doi.org/10.4085/1947-380x-6.1.27
38. Tavakol M, Wetzel A. Factor Analysis: a means for theory and instrument development in support of construct validity. Int J Med Educ. 2020;11:245–7. http://dx.doi.org/10.5116/ijme.5f96.0f4a
39. Damirchi ES, Ghojebegloo PH, Amir S. Suicidal ideation in Elderly Without a Spouse: the role of interpersonal cognitive distortions, positive and negative affect, perceived social support and meaning in life. DOAJ: Directory of Open Access Journals. 2020. https://doi.org/10.22126/jap.2020.4894.1389
40. Demir-Kaya M, Kaya F, Eroglu Y. Interpersonal cognitive distortions: What is the role of childhood trauma and attachment? J Educ Environ Sci Health. 2023;9:292–309. http://dx.doi.org/10.55549/jeseh.1381214
41. Aghajani S, Samadifard H. The relationship between cognitive fusion and cognitive distortion with death anxiety in patients with diabetes mellitus. Chron Dise J. 2018; 6(1): 18–22. https://doi.org/10.22122/cdj.v6i1.248
42. Samadifard H, Narimani M. The role of cognitive belief, fusion and distortion in predicting the general health of couples. Journals of Community Health Research. 2020;6(3):132–40.
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