Scale of behavior in social isolation (BSI-18)

validation by modeling structural equations

Authors

  • Denilson Aparecida Leite Freire Universidade Federal de Uberlândia

DOI:

https://doi.org/10.22567/rep.v11i1.747

Keywords:

Social Isolation, Psychic Illness, Structural Equation Modeling

Abstract

The objective of this research was to structure, apply and validate a research instrument to assess the impacts of social isolation on people's behavior. An evaluation measure was structured, based on other instruments already validated nationally and internationally and which culminated in the Social Isolation Behavior Scale (CIS-18). A total of 966 individuals investigated and, through structural equation modeling, it found that the scale meets the criteria of quality, consistency, relevance, and prediction, and can be reapplied. The analysis indicated that the greater the feeling of loneliness, the greater the levels of stress, anxiety, and depression during social isolation. And even though, the lower the feeling of loneliness, the greater the self-defense strategy of the researched and, consequently, the greater the hope for the future. It is suggested that the scale be used by correlating it with other constructs, aiming to analyze the impacts of social isolation on people and organizations.

Author Biography

Denilson Aparecida Leite Freire, Universidade Federal de Uberlândia

Doutor em administração

References

American Psychiatric Association (APA). (2014). Manual diagnóstico e estatístico de transtornos mentais. Porto Alegre: Artmed.

Apóstolo, J.L., Mendes, A.C., & Azeredo, Z.A. (2006). Adaptation to portuguese of the Depression, Anxiety and Stress Scales (DASS). Rev Lat Am Enfermagem, 16(6), 863-871.

Barroso, S. M., Andrade, V. S., Midgett, A. H., & Carvalho, R. G. N. (2016). Evidências de validade da Escala Brasileira de Solidão UCLA. Jornal Brasileiro de Psiquiatra, 1(65), 68-75.

Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In: Marcoulides, G.A. (Ed.). Modern methods for business research. London: Lawrence Erlbaum Associates, 295-236.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res., 18, 39-50.

Hair, J. F., Sarstedt, M., Ringle C. M., & Mena, J. A. (2012). Assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage: Thousand Oaks, CA.

Herth, K. (1992). Abbreviated instrument to measure hope: development and psychometric evaluation. J Adv Nurs, 17(10), 1251-1259.

Hjemdal, O., Friborg, O., Stiles, T. C., Rosenvinge, J. H., & Martinussen, M. (2006). Resilience predicting psychiatric symptoms: A prospective study of protective factors and their role in adjustment to stressful life events. Clinical Psychology and Psychotherapy, 13, 194-201.

Hjemdal, O., Roazzi, A., Dias, M. G. B. B., Roazzi, M., & Vikan, A. (2009). Exploring the psychometric properties of the resilience scale for adults in a Brazilian sample. In: Elizur, D.; Yaniv, E. (Orgs.). (2009). Facet new horizons in theory construction and data analysis. Jerusalém: FTA.

Masten, A. S. (2001). Ordinary magic: Resilience processes in development, American Psychologist, 56, 227-238.

Mcewen, B. S. (2002). Sex, stress, and the hippocampus: allostasis, allostatic load and the aging process. Neurobiology of Aging, 23, 921-939.

Nascimento, J. C. H. B., & Silva Macedo, M, A. (2016). Modelagem de equações estruturais com mínimos quadrados parciais: um exemplo da aplicação do smartpls® em pesquisas em contabilidade. Revista de Educação e Pesquisa em Contabilidade (REPeC), 10(3), 2016.

Pinheiro, A.A.A., & Tamayo, A. (1984). Escala UCLA de solidão: adaptação e validação. Arq Bras Psicol, 36(1), 36-44.

Pinheiro, D. P. N. (2004). A resiliência em discussão. Psicologia em estudo, 9, 67-75.

Ringle, C. M., Da Silva, D.; & Bido, D. S. (2014) Modelagem de equações estruturais com utilização do SmartPLS. Revista Brasileira de Marketing, 13(2), 56-73.

Russel, D., Peplau, L. A., & Cutrona, C. E. (1980). The revised vela loneliness scale: concurrent and discriminant validity evidenee. Joumal of Personality and Social Psychology, 19, 472-480.

Russel, D., Peplau, L. A.; & Ferguson, M. L. (1978). Developing A Measure Of Loneliness. Journal of Personality Assessment, 42, 290-294.

Rutter, M. (1999). Resilience concepts and findings: implications for family therapy. Journal of Family Therapy, 21, 119-144.

Sartorel, A. C., & Grossi, S. A. A. (2008). Escala de Esperança de Herth - Instrumento adaptado e validado para a língua portuguesa. Revista Escola de Enfermagem - USP, 42(2), 227-232.

Sosik, J. J., Kahai, S. S., Piovoso, M. J. (2009). Silver bullet or voodoo statistics? A primer for using least squares data analytic technique in group and organization research. Group & Organization Management, 35 (5), 5-36. http://dx.doi. org/10.1177/1059601108329198

Vignola, R.C., & Tucci, A.M. (2014). Adaptation and validation of the depression, anxiety and stress scale (DASS) to Brazilian Portuguese. J Affect Disord, 155, 104-109.

Published

2022-04-01

How to Cite

Freire, D. A. L. (2022). Scale of behavior in social isolation (BSI-18): validation by modeling structural equations. Revista Eniac Pesquisa, 11(1), 3–20. https://doi.org/10.22567/rep.v11i1.747

Issue

Section

Artigos