Lomonosov Psychology Journal
ISSN 0137-0936
eISSN 2309-9852
En Ru
ISSN 0137-0936
eISSN 2309-9852

Adolescents’ Aggressive Behavior in the Representation of Teachers: Typical Manifestations (Semantic Analysis)

Background. Teachers’ ideas about aggression and deviant behavior of adolescents is an extremely important source of information, scientific consideration of which can both clarify the internal picture of the difficulties in teachers’ professional activities and assess the specifics of the manifestation of problematic behavior in adolescents.

Objective. The purpose of this article is a theoretical and empirical consideration of the phenomenology of aggressive behavior in adolescents as represented in teachers’ ideas. Another goal is to identify the main lexical units with which occur in the conceptualization of typical manifestations of aggressive behavior in adolescence.

Methods. The article analyses teacher’s answers to the open question: “What are the three most typical manifestations of aggressive behavior in adolescents?” The question was asked separately about younger (11–14 years old) and older (15–19 years old) teenagers. To analyze the data obtained, the methodology of text analysis by means of the R programming language was applied. The methodology included several stages: (1) tokenization of statements, (2) stemmization of words, (3) removal of stop words for the Russian language, (4) sorting meaningful parts of words by frequency of use. To determine the differences in the frequency of use for different lexical units, the Student and Mann — Whitney criteria were used.

Sample. The study was implemented in the form of an anonymous online survey, which was filled in by teachers from five federal districts of the Russian Federation. The overwhelming majority of respondents are female (94 %). The average age of respondents is 44.5 (SD = 11.7). A sample of 7,042 teachers was used for the analysis.

Results. The most frequent lexical unit was “aggress” [aggression] in both groups. In the representations of teachers regarding younger adolescents, there are also lexical units and their components: «krik» [scream], «drak» [fight], «grub» [rude], «poveden» [behavior], «fizichesk» [physical], «emocionaln» [emotional] and «slez» [tears/crying]. In relation to the older teenagers «poveden» [behavior], «grub» [rude], «drak» [fight], «fizichesk» [physical] and «zamknut» [withdrawn] are used.

Conclusion. The study identified the most frequent lexical units and their components used by teachers to describe aggressive behavior in younger and older adolescents. It was shown that the most frequent units and their components reflect typical manifestations characteristic of both ages. At the same time, the least frequent seem to indicate the specific risks characteristic of the age groups considered.

References

Baron, R., Richardson, D. (2014). Aggression. SPb: Piter. (In Russ.).

Bochaver, A.A., Zhilinskaya, A.V., Khlomov, K.D. (2015). School Bullying and Teachers’ Attitudes. Sotsial’naya psikhologiya i obshchestvo (Social Psychology and Society), 1 (6), 103–116. (In Russ.).

Bouchet-Valat, M., Bastin, G. (2013). RcmdrPlugin. temis, a graphical integrated text mining solution in R. The R Journal, 5 (1), 188–196.

Chernyh, P.Ja. (1999). Russian Historical and Etymological Dictionary of the Modern Russian language (1st ed.). M.: Russkij jazyk. (In Russ.).

Craig, W.M., Vitaro, F., Gagnon, L., Tremblay, R.E. (2002). The road to gang membership: Characteristics of male gang and nongang members from ages 10 to 14. Social Development, 11 (1), 53–68. https://doi.org/10.1111/1467-9507.00186

Feinerer, I., Hornik, K., Meyer, D. (2008). Text Mining Infrastructure in R. Journal of Statistical Software, 25 (5), 1–54. https://doi.org/10.18637/jss.v025.i05

Great Psychological Dictionary (2009). In B.G. Meshherjakov, V.P. Zinchenko (Eds.). SPb.: Prajm-Evroznak. (In Russ.).

Hayward, S.M., Fletcher, J. (2003). Relational aggression in an Australian sample: Gender and age differences. Australian Journal of Psychology, 55 (3), 129–134. https://doi.org/10.1080/0004953042000298572

Karabanova, O.A. (2020). The risks of information socializa tion as a manifestation crisis of modern childhood. Vestnik Moskovskogo Universiteta. Seriya 14. Psikhologiya (Moscow University Psychology Bulletin), 3, 4–22. (In Russ.).

Kennedy, R.S. (2021). Bullying trends in the United States: A meta-regression. Trauma, Violence, & Abuse, 22 (4), 914–927.

Korneev, A.A., Krichevets, A.N. (2011). Conditions for Student T-Test and Mann–Whitney U-Test Application. Psihologicheskij zhurnal (Psychological Journal), 32 (1). 97–110. (In Russ.).

Lavrentiev, A.M., et al. (2019). Comparative Analysis of Special Text Corpora for Security-Related Tasks. Voprosy kiberbezopasnosti (Cybersecurity Issues), 4 (32), 54–60. https://doi.org/10.21681/2311-3456-2019-4-54-60 (In Russ.).

Leont’ev, A.N. (1975). Activity. Conscience. Personality. M.: Politizdat. (In Russ.).

Levonevskiy, D.K., Saveliev, A.I. (2021). Approach and Architecture for Categorization and Reveal of Aggression Features in Russian Text Content. Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika (Tomsk State University Journal of Control and Computer Science), 54, 56–64. (In Russ.).

Mullen, L.A., et al. (2018). Fast, Consistent Tokenization of Natural Language Text. Journal of Open Source Software, 3 (23), 655. https://doi.org/10.21105/joss.00655

Novikova, M.A., Rean, A.A., Konovalov, I.A. (2021). Measuring Bullying in Russian Schools: Prevalence, Age and Gender Correlates, and Associations with School Climate. Voprosy Obrazovaniya (Educational Studies), 3, 62–90. https://doi. org/10.17323/1814-9545-2021-3-62-90 (In Russ.).

Ozhegov, I.S. (2015). Explanatory dictionary of the Russian language: 100,000 words, terms and expressions: new edition (28th ed., re-edition). In L.I. Skvorcov (Eds.). M.: Mir i obrazovanie. (In Russ.).

R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. (Retrieved from https:// www.R-project.org/).

Rean, A.A. (1996). Aggression and aggressiveness of the personality. Psihologicheskij zhurnal (Psychological Journal), 17 (5), 3–18. (In Russ.).

Rean, A.A., et al. (2016). Psychology of deviance. Children. Society. The Law: a monograph edited by A.A. Rean. M.: JuNITI-DANA. (In Russ.).

Rean, A.A., Konovalov, I.A., Novikova, M.A., Molchanova, D.V. (2021). Prevention of aggression and destructive behavior of youth: an analysis of world experience. In A.A. Rean. (Eds.). SPb.: Izdatel’sko-poligraficheskaja kompanija «KOSTA». (In Russ.).

Revelle, W. (2023). Psych: Procedures for Psychological, Psychometric, and Personality Research. Northwestern University, Evanston, Illinois. R package version 2.3.6. (Retrieved from https://CRAN.R-project.org/package=psych).

Shanskij, N.M. (1963). Etymological Dictionary of the Russian language, 1 (1st ed.). M.: Izd-vo MGU. (In Russ.).

Silge, J., Robinson, D. (2016). Tidytext: Text Mining and Analysis Using Tidy Data Principles in R. Journal of Open Source Software, 1 (3), 37. https://doi.org/10.21105/ joss.00037

Soldatova, G.U., Nestik, T.A., Rasskazova, E.I., Zotova, E.Ju. (2013). Digital competence of Russian teenagers and parents: results of an All-Russian study. M.: Fond Razvitija Internet. (In Russ.).

Soldatova, G.U., Rtischeva, M.A., Seregina, V.V. (2017). Online risks and the problem of psychological health of children and adolescents. Akademicheskij vestnik Akademii social’nogo upravlenija (Academic Bulletin of the Academy of Social Management), 3, 29–37. (In Russ.).

Sorokin, Ju.S. (1984). Dictionary of the Russian language of the XVIII century. USSR Academy of Sciences. Institution of Rus. lang. L.: Nauka. Leningr. otd-nie. (In Russ.).

Textometrie (TXM): site. (Retrieved from http://textometrie.org)

Van Hee, C., et al. (2018). Automatic detection of cyberbullying in social media text. Public Library of Science (PloS) one, 13 (10), e0203794. https://doi.org/10.1371/journal.pone.0203794

Volkova, E.N., Volkova, I.V. (2021). Psychology of teenage bullying. Nizhny Novgorod: Mininsky University. (In Russ.).

Vygotsky, L.S. (2005). Psychology of child development. M.: Izd-vo Smysl, Izd-vo Eksmo. (In Russ.).

Wickham, H., et al. (2019). Welcome to the Tidyverse. Journal of Open Source Software, 4 (43), 1686. https://doi.org/10.21105/joss.01686

Wickham, H. (2016). Ggplot2: Elegant graphics for data analysis. Springer.

Wickham, H. (2022). Stringr: Simple, Consistent Wrappers for Common String Operations. (Retrieved from https://stringr.tidyverse.org). (Retrieved from https:// github.com/tidyverse/stringr).

Wickham, H., Francois R., Henry L., Muller K. (2021). Dplyr: A Grammar of Data Manipulation. R package version 1.0.7. (Retrieved from https://CRAN.R-project. org/package=dplyr).

Wickhamm, H., Bryan, J. (2019). Readxl: Read Excel Files. R package version 1.3.1. (Retrieved from https://CRAN.R-project.org/package=readxl).

Zlokazov, K.V., Karayani, Y.M., Karayani, A.G., Shakhmatov, A.V. (2021). Urban Vandalism in the Eyes of Youth: an Empirical Study of Its Causes Attribution. Psikhologiya i pravo (Psychology and Law), 3 (11), 77–93. https://doi.org/10.17759/ psylaw.2021110306. (In Russ.).

Recieved: 09/18/2023

Accepted: 11/18/2023

Published: 12/18/2023

Keywords: teachers; adolescents; social perception; aggression; text analysis; lexical unit

Available online since: 18.12.2023

Issue 4, 2023