Cite this article as:
Sharov A. A. Method of Studying Deviant Activity in the Real and Virtual Environment . Izvestiya of Saratov University. Educational Acmeology. Developmental Psychology, 2019, vol. 8, iss. 1, pp. 30-37. DOI: https://doi.org/10.18500/2304-9790-2019-8-1-30-37
Method of Studying Deviant Activity in the Real and Virtual Environment
Based on the works of Russian and foreign researchers in the field of the psychology of deviant behavior, definitions of the terms “real deviant activity” and “virtual deviant activity” have been specified. The article proposes a new toolset for the study of selected types of social activ- ity. The purpose of the study was to develop and validate the original method. The sample consisted of 260 students (checking internal consistency, split reliability, convergent validity n = 210, diachronic reliability n = 50). Psychometric toolkit contains 48 points and 4 scales. The first two scales are aimed at assessing deviant behavior in the real environment; they include 14 points each; their names are “antisocial and asocial real activity”, “self-destructive real activity”. The following two evaluate deviant activity in the virtual environment: “antisocial and aggressive-asocial virtual activity” and “auto-destructive virtual activ- ity” and include 10 points each. Checking obvious, meaningful and convergent validity, split reliability and internal consistency allows us to present the following results. According to the results of expert assessment, 15 points were reformulated, and 5 points were completely excluded. The level of internal consistency in the range of values is α 0,584–0,862, the relationship of the scales 0,257–1. The retest reliability is r 0,948–0,976, at р < 0,001. Method splitting for even and odd points is rt 0,352–0,715, at р < 0,001. Convergent validity indicators (with scales of four known techniques in the context under consideration) vary within the range of values 0,153–0,606, at р < 0,001. The obtained results allow us to state that the psychometric tools presented can be used for research purposes. The future prospect of research is determined by standardization procedures based on samples of respondents from different age groups.
1. Balog A. I. Social activity of students. Istoricheskaya i social’no-obrazovatel’naya mysl’ [Historical and socialeducational ideas], 2015, vol. 7, no. 6/2. pp. 143–146 (in Russian). DOI: https://orcid.org/10.17748/2075-9908-2015-7-6/2-143-146
2. Vorobyeva I. V., Kruzhkova O. V. Social and psychological aspects of youth susceptibility to the effects of the Internet environment. Obrazovanie i nauka [Education and Science], 2017, vol. 19, no. 9, pp. 86–102 (in Russian). DOI: https://orcid.org/10.17853/1994-5639-2017-9-86-102
3. Bocharova E. E. Boundaries of Social Activity and Subjective Well-Being of Young People. Vestnik MGOU. Ser. Psikhologicheskie nauki [Bulletin of the Moscow Region State University. Ser. Psychological Sciences], 2012, no. 3, pp. 5‒11 (in Russian).
4. Zayko A. P. Social activity of college students in social networks: regional aspect. Izvestiya Ural’skogo federal’nogo universiteta. Ser. 3. Obshchestvennye nauki [Izvestia Ural Federal University Journal, Series 3 Social and Political Sciences], 2017, vol. 12, no. 2 (164), pp. 106–113 (in Russian).
5. Shamionov R. M. Sootnoshenie adaptatsionnoy gotovnosti i sotsialnoy aktivnosti lichnosti [The ratio of adaptive readiness and social activity of the individual]. Teoreticheskaya i eksperimentalnaya psikhologiya [Theoretical and Experimental Psychology], 2012, vol. 5, no. 2, pp. 72–81 (in Russian).
6. Gorbacheva A. G. Constructive and destructive communicative practices of people on the Internet. Idei i idealy [Ideas and ideals], 2013, vol. 2, no. 3, pp. 17–25 (in Russian).
7. Cherenkov D. A. Deviant behavior in social networks: causes, forms, consequences. Nauka-rastudent.ru: ehlektronnyj nauchno-prakticheskij zhurnal (Nauka-rastudent.ru: electronic scientifi c and practical journal), 2015, no. 07 (19). Available at: http://nauka-rastudent.ru/19/2843/ (accessed 1 August 2018) (in Russian).
8. Willard N. E. Cyberbullying and cyberthreats: Responding to the Challenge of Online Social Aggression, Threats, and Distress. Champaign, 2007, pp. 1–2.
9. Ruzhenkov V. A., Luk’yantseva I. S. New opportunities of clinical screening diagnostics of risk of formation of addictive and dependent behavior. Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Ser. Medicina. Farmaciya [Scientifi c Bulletin of Belgorod State University. Ser. Medicine. Pharmacy], 2016, vol. 35, no. 19 (240), pp. 36–47 (in Russian).
10. Toncheva A. V. Diagnosis cybercommunications based on. Internet-zhurnal Naukovedenie [Online journal of Science], 2012, no. 4 (13), pp. 138–143 (in Russian).
11. Musalimova R. S., Akhmadeev R. R. Brief description of test methods of Internet-dependent behavior evaluation. Vestnik Bryanskogo gosudarstvennogo universiteta [The Bryansk State University Herald], 2015, no. 3, pp. 32–34 (in Russian).
12. Lazhinceva E. M., Bochaver A. A. The Internet as a new environment for deviant behavior of a teenager. Voprosy psihologii [Voprosy Psychologii], 2015, no. 4, pp. 49–58 (in Russian).
13. Zmanovskaya E. V. Psihologiya deviantnogo povedeniya: strukturno-dinamicheskiy podhod [Psychology of deviant behavior: structural-dynamic approach]. Thesis Diss. Dr. Sci. (Psychol.). St. Petersburg, 2006. 49 р. (in Russian).
14. Maysak N. V. Matrix of social deviations: classifi cation of types and types of deviant behavior. ovremennye problemy nauki i obrazovaniya [Modern Problems of Science and Education], 2010, no. 4, pp. 78–86 (in Russian).
15. Baturin N. A., Mel’nikova N. N. Test development technology: part III. Vestnik Yuzhno-Ural’skogo gosudarstvennogo universiteta, Ser. Psihologiya [Bulletin of the South Ural State University. Ser. Psychology], 2010, iss. 8, pp. 4–14 (in Russian).
16. Barkanova O. V. Metodiki diagnostiki ehmocional’noj sfery: psihologicheskij praktikum [Methods of diagnostics of the emotional sphere: psychological workshop]. Krasnoyarsk, 2009. 237 р. (in Russian).
17. Malygin V. L., Feklisov K. A., Iskandirova A. B., Antonenko A. A. Methodological approaches to early detection of Internet-dependent behavior. Medicinskaya psihologiya v Rossii: ehlektronnyj nauchnyj zhurnal (Medical psychology in Russia: electronic scientifi c journal), 2011, no. 6. Available at: http://medpsy.ru
(accessed 2 August 2018) (in Russian).
18. Lozovaya G. V. Test na zavisimoct’ (addiktsiyu). Metodika diagnostiki sklonnosti k 13 vidam zavisimoctey (A test for dependence (addiction). The technique of diagnostics of tendency to the 13 types of dependencies). Available at: http://psycabi.net/testy/485-test-na-zavi-simost-addiktsiyu-metodika-dia... (accessed 2 August 2018) (in Russian).
