A causal footprint in individual-intellectual integrations. Part 1. Integrations and causality

PSYCHOLOGY

Authors

  • Leonid Ya. Dorfman Perm State Institute of Culture, 18, Gazety «Zvezda» st., Perm, 614000, Russia
  • Alexey Yu. Kalugin Perm State Humanitarian Pedagogical University, 24, Sibirskaya st., Perm, 614990, Russia;

DOI:

https://doi.org/10.17072/2078-7898/2022-3-452-464

Keywords:

systemic approach, integration, individual-intellectual integrations, causal chains, causality

Abstract

Today, there is a huge variety of theories, empirical models that explain different aspects of the human psyche. All this diversity leads to a «faceted» psychology (D.V. Ushakov). Is it possible to move from this state of empirical multidimensionality to a holistic understanding of the person? Ya.A. Ponomarev proposed two ways to solve this problem: the «top-down» synthesis and the «bottom-up» synthesis. The former involves moving from theory to empirical verification, the latter — from empirical models to theoretical generalizations. A third way is also possible: integration «from above» and «from below» jointly, i.e. theoretically and empirically from a unified standpoint. This ensures the complementarity of theory and empiricism. This paper aims to study the possibility of cross-empirical individual-intellectual integrations on a cross-theoretical basis, which consists of V.S. Merlin’s theory of integral individuality, D.V. Ushakov’s structural-dynamic theory of intelligence, and J. Guilford’s theory of divergent (creative) thinking. The methodological bases of the study are the general scientific principle of consistency; the polysystemic approach, which involves both distinguishing several systems and combining them into a larger metasystem; the integrative approach in psychology. The main research methods were theoretical analysis, synthesis, and generalization. Three lines of integration have been outlined: a theoretical view and an empirical view implemented jointly, cross-theoretical, and cross-empirical approaches. Based on the study of the near causes and the causal process, the concept of causal chains has been developed. It allows one to study the changes and dynamics of individual-intellectual integrations. Homogeneous and heterogeneous causal chains have been identified. This paper is the first to suggest considering individual-intellectual integrations from the perspective of the causal chain. The results of the theoretical analysis can be used for empirical detection of individual-intellectual integrations as major components of educational capital.

Author Biographies

Leonid Ya. Dorfman, Perm State Institute of Culture, 18, Gazety «Zvezda» st., Perm, 614000, Russia

Doctor of Psychology, Professor,Head of the Department of Humanities

Alexey Yu. Kalugin, Perm State Humanitarian Pedagogical University, 24, Sibirskaya st., Perm, 614990, Russia;

Candidate of Psychology, Docent,Head of the Department of Practical Psychology

References

Ананьев Б.Г. Человек как предмет познания. СПб.: Питер, 2018. 288 с.

Барабанщиков В.А. Системный подход в структуре психологического познания // Методология и история психологии. 2007. Т. 2, вып. 1. С. 86–99.

Волкова Е.В. Технологии развития ментальных ресурсов. М.: Ин-т психологии РАН, 2016. 256 с.

Вяткин Б.А., Дорфман Л.Я. Системная интеграция индивидуальности человека. М.: Ин-т психологии РАН, 2018. 176 с.

Вяткин Б.А., Щукин М.Р. Об интеграции теорий и подходов целостного познания человека // Вестник Удмуртского университета. Серия Философия. Психология. Педагогика. 2016. Т. 26, № 2. С. 47–57.

Дорфман Л.Я. Каузальный плюрализм и психология // Мир психологии. 2014. № 3(79). C. 220–236.

Дорфман Л.Я. Каузальный плюрализм и холизм в концепции метаиндивидуального мира // Психология. Журнал Высшей школы экономики. 2016. Т. 13, № 1. С. 115–153. DOI: https://doi.org/10.17323/1813-8918-2016-1-115-153

Дорфман Л.Я. Методологические основы эмпирической психологии. 2-е изд., испр. и доп. М.: Юрайт, 2017. 198 с.

Дорфман Л.Я., Калугин А.Ю. Индивидуальноинтеллектуальные интеграции человека. М.: Ин-т психологии РАН, 2021. 279 с. DOI: https://doi.org/10.38098/mng_21_0438

Карпов А.В. Структура и сущность субъективной реальности: в 2 т. Т. 1: Сенсорика. Процессы. Сознание. Ярославль: Филигрань, 2021. 626 с.

Копнин П.В. Гносеологические и логические основы науки. М.: Мысль, 1974. 568 с.

Кузьмин В.П. Исторические предпосылки и гносеологические основания системного подхода // Психологический журнал. 1982. Т. 3, № 3. С. 3–14.

Леонтьев Д.А. Причинность и объяснение в психологии личности: от необходимого к возможному // Эпистемология и философия науки. 2008. Т. 17, № 3. С. 127–142. DOI: https://doi.org/10.5840/eps200817336

Ломов Б.Ф. Методологические и теоретические проблемы психологии. М.: Наука, 1984. 444 с.

Мерлин В.С. Очерк интегрального исследования индивидуальности. М.: Педагогика, 1986. 256 с

Пономарев Я.А. Методологическое введение в психологию. М.: Наука, 1983. 205 с.

Поппер К.Р. Объективное знание. Эволюционный подход. М.: Эдиториал УРСС, 2002. 384 с.

Рубинштейн С.Л. Бытие и сознание. Человек и мир. СПб.: Питер, 2003. 508 с.

Толочек В.А. «Задатки – способности – ресурсы» в детерминации социальной успешности человека // Фундаментальные и прикладные исследования современной психологии: результаты и перспективы развития / отв. ред. А.Л. Журавлев, В.А.Кольцова. М.: Ин-т психологии РАН, 2017. С. 1265–1272.

Ушаков Д.В. Анатомия психологического знания // Психологическое знание: Современное состояние и перспективы развития / под ред. А.Л. Журавлева, А.В. Юревича. М.: Ин-т психологии РАН, 2018. С. 71–114.

Ушаков Д.В. На пути к целостному видению человека // Психология. Журнал Высшей школы экономики. 2020. Т. 17, № 4. С. 617–629. DOI: https://doi.org/10.17323/1813-8918-2020-4-617-629

Ушаков Д.В. Психология интеллекта и одаренности. М.: Ин-т психологии РАН, 2011. 464 с.

Ушаков Д.В. Творчество — общесистемный взгляд // Творчество: от биологических оснований к социальным и культурным феноменам / отв. ред. Д.В. Ушаков. М.: Ин-т психологии РАН, 2011. С. 21−32.

Чуприкова Н.И. Дифференционноинтеграционная теория как методологическая основа консолидации исследований в области психологии развития // Мир психологии. 2016. № 1(85). С. 17–27.

Юревич А.В. Психология и методология. М.: Ин-т психологии РАН, 2005. 312 с.

Aggarwal Ch.C. Neural Networks and Deep Learning. Cham, CH: Springer, 2018. 520 p. DOI: https://doi.org/10.1007/978-3-319-94463-0

Ben-Menahem Y. Causation in science. Princeton, NJ: Princeton University Press, 2018. 224 p. DOI:https://doi.org/10.23943/9781400889297

Cartwright N. Causation: One word, many things // Philosophy of Science. 2004. Vol. 71, iss. 5. P. 805–819. DOI: https://doi.org/10.1086/426771

Dorfman L., Kalugin A., Mishkevich A. Individual-intellectual integrations on the commonality criterion in Russian undergraduates // Proceedings of International Conference on Social and Education Sciences (IConSES) – 2021 / ed. by V. Akerson, M. Shelley. Chicago, IL: ISTES Organization, 2021. P. 51–66.

Ehrenstein K. Conceptual Pluralism // Causal Pluralism in the Life Sciences. Cham, CH: Springer, 2022. P. 1–15. DOI: https://doi.org/10.1007/978-3-030-87942-6_1

Gillies D. Causality, probability, and medicine. Abingdon, UK: Routledge, 2018. 316 p. DOI: https://doi.org/10.4324/9781315735542

Gillies D., Sudbury A. Should causal models always be Markovian? The case of multi-causal forks in medicine // European Journal for Philosophy of Science. 2013. Vol. 3, iss. 3. P. 275–308. DOI: https://doi.org/10.1007/s13194-013-0068-z

Godfrey-Smith P. Causal pluralism // Oxford Handbook of Causation / ed. by H. Beebee, C. Hitchcock, P. Menzies. Oxford, UK: Oxford University Press, 2010. P. 326−338. DOI: https://doi.org/10.1093/oxfordhb/9780199279739.003.0017

Grace J.B., Irvine K.M. Scientist’s guide to developing explanatory statistical models using causal analysis principles // Ecology. 2020. Vol.101,iss.4.URLhttps://www.researchgate.net/publication/338163927_Scientist’s_guide_to_developing_explanatory_statistical_models_using_causal_analysis_principles (accessed: 18.05.2022). DOI: https://doi.org/10.1002/ecy.2962

Guilford J.P. The nature of human intelligence. N.Y.: McGraw-Hill, 1967. 538 p.

Guo J., Qiu Y., Gan Y. Workplace incivility and work engagement: The chain mediating effects of perceived insider status, affective organizational commitment and organizational identification // Current Psychology. 2022. Vol. 41, iss. 4. P. 1809–1820. DOI: https://doi.org/10.1007/s12144-020-00699-z

Lee S., Feeley T.H. The identifiable victim effect: Using an experimental-causal-chain design to test for mediation // Current Psychology. 2018. Vol. 37, iss. 4. P. 875–885. DOI: https://doi.org/10.1007/s12144-017-9570-3

Luke D.A. A user’s guide to network analysis in R. Cham, CH: Springer, 2015. 250 p. DOI: https://doi.org/10.1007/978-3-319-23883-8

Mueller R.O., Hancock G.R. Structural equation modeling // The Reviewer’s Guide to Quantitative Methods in the Social Sciences / ed. by G.R. Hancock, L.M. Stapleton, R.O. Mueller. N.Y.: Routledge: Taylor & Francis Group, 2019. P. 445–456. DOI: https://doi.org/10.4324/9781315755649-33

Nielsen A. Practical time series analysis: Prediction with statistics and machine learning. Sebastopol, CA: O’Reilly Media, 2019. 504 p.

Nogueira A.R., Pugnana A., Ruggieri S., Pedreschi D., Gama J. Methods and tools for causal discovery and causal inference // Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2022. Vol. 12, iss. 2. URL: https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.1449 (accessed: 18.05.2022). DOI: https://doi.org/10.1002/widm.1449

Pearl J. The structural theory of causation // Causality in the Sciences / ed. by P.M. Illari, F. Russo, J. Williamson. N.Y.: Oxford University Press, 2011. P. 697−727. DOI: https://doi.org/10.1093/acprof:oso/9780199574131.003.0033

Qiu J., Game E.T., Tallis H., Olander L.P. et al. Evidence-based causal chains for linking health, development, and conservation actions // BioScience. 2018. Vol. 68, iss. 3. P. 182–193. DOI: https://doi.org/10.1093/biosci/bix167

Roberts S.G. Robust, causal, and incremental approaches to investigating linguistic adaptation // Frontiers in Psychology. 2018. Vol. 9. URL: https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00166/full (accessed: 18.05.2022). DOI: https://doi.org/10.3389/fpsyg.2018.00166

Salmon W. Causality and explanation. N.Y.: Oxford University Press, 1998. 448 p. DOI: https://doi.org/10.1093/0195108647.001.0001

Scutari M., Denis J.B. Bayesian networks: with examples in R. 2nd ed. N.Y.: Chapman and Hall/CRC, 2021. 274 p. DOI: https://doi.org/

1201/9780429347436

Shafer G. The notion of event in probability and causality: situating myself relative to Bruno de Finetti // International Journal of Approximate Reasoning. 2022. Vol. 141. P. 171–178. DOI: https://doi.org/10.1016/j.ijar.2021.12.015

Stanovich K.E. How to think straight about psychology. N.Y.: Harper Collins Publishers, 1992. 239 p.

Toomela A. Causality, Understanding, and Explanation: Philosophical Roots // The Psychology of Scientific Inquiry. Cham, CH: Springer, 2019. P. 51–66. DOI: https://doi.org/10.1007/978-3-030-31449-1_4

Toomela A. Theory of Causality and Modern Mainstream Psychology // The Psychology of Scientific Inquiry. Cham, CH: Springer, 2019. P. 91–105. DOI: https://doi.org/10.1007/978-3-030-31449-1_7

Vuorre M., Bolger N. Within-subject mediation analysis for experimental data in cognitive psychology and neuroscience // Behavior Research Methods. 2018. Vol. 50, iss. 5. P. 2125–2143. DOI: https://doi.org/10.3758/s13428-017-0980-9

Zuckerman M. Sensation seeking and risky behavior. Washington, DC: American Psychological Association, 2007. 397 p. DOI: https://doi.org/10.1037/11555-000

References

Aggarwal, Ch.C. (2018). Neural networks and deep learning. Cham, CH: Springer Publ., 520 p. DOI: https://doi.org/10.1007/978-3-319-94463-0

Ananiev, B.G. (2018). Chelovek kak predmet poznaniya [Man as a subject of knowledge]. St. Petersburg: Peter Publ., 288 p.

Barabanschikov, V.A. (2007). [System approach in the structure of psychological knowledge]. Metodologiya i istoriya psikhologii [Methodology and History of Psychology]. Vol. 2, iss. 1, pp. 86–99.

Ben-Menahem, Y. (2018). Causation in science. Princeton, NJ: Princeton University Press., 224 p. DOI:https://doi.org/10.23943/9781400889297

Cartwright, N. (2004). Causation: One word, many things. Philosophy of Science. Vol. 71, iss. 5, pp. 805–819. DOI: https://doi.org/10.1086/426771

Chuprikova, N.I. (2016). [Differention-integration theory as a methodological basis for studies consolidation in the sphere of development psychology]. Mir psikhologii [World of Psychology]. No. 1(85), pp. 17–27.

Dorfman, L., Kalugin, A. and Mishkevich, A. (2021). Individual-intellectual integrations on the commonality criterion in Russian undergraduates. V. Akerson, M. Shelley (eds.) Proceedings of International Conference on Social and Education Sciences (IConSES) – 2021. Chicago, IL: ISTES Organization Publ., pp. 51–66.

Dorfman, L.Ya. (2014). [Causal pluralism and psychology]. Mir psikhologii [World of Psychology]. Vol. 3(79), pp. 220–236.

Dorfman, L.Ya. (2016). [The causal pluralism and holism in the meta-individual world theory]. Psikhologiya. Zhurnal Vysshey shkoly ekonomiki Psychology. Journal of the Higher School of Economics]. Vol. 13, no. 1, pp. 115–153. DOI: https://doi.org/10.17323/1813-8918-2016-1-115-153

Dorfman, L.Ya. (2017). Metodologicheskie osnovy empiricheskoy psikhologii [Methodological foundations of empirical psychology]. 2nd ed. Moscow: Yurayt Publ., 198 p.

Dorfman, L.Ya. and Kalugin, A.Yu. (2021). Individual’no-intellektual’nye integratsii cheloveka [Individual-intelligent integrations of a person]. Moscow: IP RAS Publ., 279 p. DOI: https://doi.org/10.38098/mng_21_0438

Ehrenstein, K. (2022). Conceptual pluralism. Causal pluralism in the life sciences. Cham, CH: Springer Publ., pp. 1–15. DOI: https://doi.org/10.1007/978-3-030-87942-6_1

Gillies, D. (2018). Causality, probability, and medicine. Abingdon, UK: Routledge Publ., 316 p. DOI: https://doi.org/10.4324/9781315735542

Gillies, D. and Sudbury, A. (2013). Should causal models always be Markovian? The case of multicausal forks in medicine. European Journal for Philosophy of Science. Vol. 3, iss. 3, pp. 275–308. DOI: https://doi.org/10.1007/s13194-013-0068-z

Godfrey-Smith, P. (2010). Causal pluralism. H. Beebee, C. Hitchcock, P. Menzies (eds.) Oxford Handbook of Causation. Oxford, UK: Oxford University Press, pp. 326−338. DOI: https://doi.org/10.1093/oxfordhb/9780199279739.003.0017

Grace, J.B. and Irvine, K.M. (2020). Scientist’s guide to developing explanatory statistical models using causal analysis principles. Ecology. Vol. 101, iss. 4. Available at: https://www.researchgate.net/publication/338163927_Scientist’s_guide_to_developing_explanatory_statistical_models_using_causal_analysis_principles (accessed 18.05.2022). DOI: https://doi.org/10.1002/ecy.2962

Guilford, J.P. (1967). The nature of human intelligence. New York: McGraw-Hill Publ., 538 p.

Guo, J., Qiu, Y. and Gan, Y. (2022). Workplace incivility and work engagement: The chain mediating effects of perceived insider status, affective organizational commitment and organizational identification. Current Psychology. Vol. 41, iss. 4, pp. 1809–1820. DOI: https://doi.org/10.1007/s12144-020-00699-z

Karpov, A.V. (2021). Struktura i suschnost’ sub’ektivnoy real’nosti: v 2 t. T. 1: Sensorika. Protsessy. Soznanie [Structure and essence of subjective reality: in 2 vols. Vol. 1: Sensory. Processes. Consciousness]. Yaroslavl: Filigranʹ Publ,. 626 p.

Kopnin, P.V. (1974). Gnoseologicheskie i ogicheskie osnovy nauki [Gnoseological and logical foundations of science]. Moscow: Mysl’ Publ., 568 p.

Kuzmin, V.P. (1982). [Historical background and epistemological foundations of the system approach]. Psikhologicheskiy zhurnal [Psychological Journal]. Vol. 3, no. 3, pp. 3–14.

Lee, S. and Feeley, T.H. (2018). The identifiable victim effect: Using an experimental-causal-chain design to test for mediation. Current Psychology. Vol. 37, iss. 4, pp. 875–885. DOI: https://doi.org/10.1007/s12144-017-9570-3

Leont’ev, D.A. (2008). [Causality and explanation in personality psychology: from the necessary to the possible]. Epistemologiya i filosofiya nauki [Epistemology and Philosophy of Science]. Vol. 17, no. 3, pp. 127–142. DOI: https://doi.org/10.5840/

eps200817336

Lomov, B.F. (1984). Metodologicheskie i teoreticheskie problemy psikhologii [Methodological and theoretical problems of psychology]. Moscow: Nauka Publ., 444 p.

Luke, D.A. (2015). A user’s guide to network analysis in R. Cham, CH: Springer Publ., 250 p. DOI: https://doi.org/10.1007/978-3-319-23883-8

Merlin, V.S. (1986). Ocherk integral’nogo issledovaniya individual’nosti [Essay on the integral study of individuality]. Moscow: Pedagogika Publ., 256 p.

Mueller, R.O. and Hancock, G.R. (2019). Structural equation modeling. G.R. Hancock, L.M. Stapleton, R.O. Mueller (eds.) The Reviewer’s Guide to Quantitative Methods in the Social Sciences. New York: Routledge Publ., Taylor & Francis Group Publ., pp. 445–456. DOI: https://doi.org/10.4324/9781315755649-33

Nielsen, A. (2019). Practical time series analysis: Prediction with statistics and machine learning. Sebastopol, CA: O’Reilly Media Publ., 504 p.

Nogueira, A.R., Pugnana, A., Ruggieri, S., Pedreschi, D. and Gama, J. (2022). Methods and tools for causal discovery and causal inference. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. Vol. 12, iss. 2. Available at: https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.1449 (accessed 18.05.2022). DOI: https://doi.org/10.1002/widm.1449

Pearl, J. (2011). The structural theory of causation. P.M. Illari, F. Russo, J. Williamson (eds.) Causality in the sciences. New York: Oxford University Press, pp. 697−727. DOI: https://doi.org/10.1093/acprof:oso/9780199574131.003.0033

Ponomarev, Ya.A. (1983). Metodologicheskoe vvedenie v psikhologiyu [Methodological introduction to psychology]. Moscow: Nauka Publ., 205 p.

Popper, K.R. (2002). Ob’ektivnoe znanie. Evolyutsionnyy podkhod [Objective knowledge. Evolutionary approach]. Moscow: Editorial URSS Publ., 384 p

Qiu, J., Game, E.T., Tallis, H., Olander, L.P. et al. (2018). Evidence-based causal chains for linking health, development, and conservation actions. BioScience. Vol. 68, iss. 3, pp. 182–193. DOI: DOI: https://doi.org/10.1093/biosci/bix167

Roberts, S.G. (2018). Robust, causal, and incremental approaches to investigating linguistic adaptation. Frontiers in Psychology. Vol. 9. Available at: https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00166/full (accessed 18.05.2022). DOI:

https://doi.org/10.3389/fpsyg.2018.00166

Rubinstein, S.L. (2003). Bytie i soznanie. Chelovek i mir [Being and consciousness. Man and the world]. St. Petersburg: Piter Publ., 508 p.Salmon, W. (1998). Causality and explanation. New York: Oxford University Press, 448 p. DOI: https://doi.org/10.1093/0195108647.001.0001

Scutari, M. and Denis, J.B. (2021). Bayesian networks: with examples in R. 2nd ed. New York: Chapman and Hall/CRC Publ., 274 p. DOI:

https://doi.org/10.1201/9780429347436

Shafer, G. (2022). The notion of event in probability and causality: situating myself relative to Bruno de Finetti. International Journal of Approximate Reasoning. Vol. 141, pp. 171–178. DOI: DOI: https://doi.org/10.1016/j.ijar.2021.12.015

Stanovich, K.E. (1992). How to think straight about psychology. New York: Harper Collins Publishers, 239 p.

Tolochek, V.A. (2017). [«Inclinations – abilities –resources» in determining the social success of a person]. Fundamental’nye i prikladnye issledovaniya sovremennoy psikhologii: rezul’taty i perspektivy razvitiya, otv. red. A.L. Zhuravlov, V.A. Kol’tsova[A.L. Zhuravlev, V.A. Koltsova (eds.) Fundamental and applied research in modern psychology: results and development prospects]. Moscow: IP RAS Publ., p. 1265–1272.

Toomela, A. (2019). Causality, understanding, and explanation: Philosophical roots. The psychology of scientific inquiry. Cham, CH: Springer Publ., pp. 51–66. DOI: https://doi.org/10.1007/978-3-030-31449-1_4

Toomela, A. (2019). Theory of causality and modern mainstream psychology. The psychology of scientific inquiry. Cham, CH: Springer Publ., pp. 91–105. DOI: https://doi.org/10.1007/978-3-030-31449-1_7

Ushakov, D.V. (2011). [Creativity — a systemwide view]. Tvorchestvo: ot biologicheskikh osnovaniy k sotsial’nym i kul’turnym fenomenam, pod red. D.V. Ushakova [D.V. Ushakov (ed.) Creativity: from biological foundations to social and cultural phenomena]. Moscow: IP RAS Publ., pp. 21−32.Ushakov, D.V. (2011). Psikhologiya intellekta i odarennosti [Psychology of intelligence andgiftedness]. Moscow: IP RAS Publ., 464 p.

Ushakov, D.V. (2018). [Anatomy of psychological knowledge]. Psikhologicheskoe znanie: Sovremennoe sostoyanie i perspektivy razvitiya, pod red. A.L. Zhuravleva, A.V. Yurevicha [A.L. Zhuravlev, A.V. Yurevich (eds.) Psychological knowledge: current state and development prospects]. Moscow: IP RAS Publ., pp. 71–114.

Ushakov, D.V. (2020). [Towards a holistic human study]. Psikhologiya. Zhurnal Vysshey shkoly ekonomiki [Psychology. Journal of the Higher School of Economics]. Vol. 17, no. 4, pp. 617–629. DOI: https://doi.org/10.17323/1813-8918-2020-4-617-629

Volkova, E.V. (2016). Tekhnologii razvitiya mental’nykh resursov [Technologies for the development of mental resources]. Moscow: IP RAS Publ., 256 p.

Vuorre, M. and Bolger, N. (2018). Within-subject mediation analysis for experimental data in cognitive psychology and neuroscience. Behavior Research Methods. Vol. 50, iss. 5, pp. 2125–2143. DOI: https://doi.org/10.3758/s13428-017-0980-9

Vyatkin, B.A. and Dorfman, L.Ya. (2018). Sistemnaya integratsiya individual’nosti cheloveka [System integration of human individuality]. Moscow: IP RAS Publ., 176 p.

Vyatkin, B.A. and Shchukin, M.R. (2016). [On integration of theories and approaches to the holisticknowledge of a person]. Vestnik Udmurtskogo universiteta. Seriya Filosofiya. Psikhologiya. Pedagogika [Bulletin of Udmurt University. Series Philosophy.Psychology. Pedagogy]. Vol. 26, no. 2,pp. 47–57.

Yurevich, A.V. (2005). Psikhologiya i metodologiya [Psychology and methodology]. Moscow: IP RAS Publ., 312 p.

Zuckerman, M. (2007). Sensation seeking and risky behavior. Washington, DC: American Psychological Association Publ., 397 p. DOI: https://doi.org/10.1037/11555-000

Published

2022-09-29

Issue

Section

Статьи