Real dependencies and significant correlations for the indicator “conformity ― non-conformity” (the model of quarts of independent variable)
https://doi.org/10.26425/1816-4277-2024-1-211-222
Abstract
The article discusses the typology of significant connections for the indicator “Group-Oriented – Self-Reliant” (“ conformism – non-conformism”) (oriented at the group – independent) within the framework of studying statistical connections with the author’s method and correlation analysis. A total of 13 significant connections were identified, two of which are moderate (the maximum is 0.41), and the rest are very weak or weak in the range from 0.19 to 0.3. It means that in terms of linear mo dels they can be ignored. At the same time, among these 13 dependencies, two strong simplest nonlinear dependencies can be distinguished which are truly crucial for the research. The strong nonlinear dependency of the variable “ Ideosyncratic type” on the variable “Group-Oriented – Self-Reliant” (“conformism – non-conformism”) was considered in detail, as well as the connection of two significant dependencies of the variables “psychopathy” and “Hermit personality type” with the same variable for comparison. All the three dependencies are similar in their linear component and within the framework of the modern approach, popular among psychologists, should be treated as a meaningful result of the study. However, in reality, only one of them is interesting to the researcher. For visual representation, graphical comparisons of the three with each other and with their regression models built on the basis of linear correlation are considered. This indicates the non-linear nature of the dependencies of the indicator “Group-Oriented – Self-Reliant” (“ conformism – non-conformism”) in the conducted psychological study.
About the Author
M. M. BasimovRussian Federation
Mikhail M. Basimov, Dr. Sci. (Psy.), Leading Researcher
Moscow
References
1. Glass J., Stanley J. Statistical methods in pedagogy and psychology. Trans. from Eng. L.I. Khajrusova. Moscow: Progress; 1976. 494 p. (In Russian).
2. Dyachuk A.A. Mathematical methods in psychological and pedagogical research : textbook. Krasnoyarsk: KSPU named after V.P. Astafyev; 2013. 347 p. (In Russian).
3. Ermolaev O.Yu. Mathematical statistics for psychologists : textbook. Moscow: Flinta; 2014. 337 p. (In Russian).
4. Nasledov A.D. Mathematical methods of psychological research. Analysis and interpretation of data : textbook. St. Petersburg: Rech; 2012. 392 p. (In Russian).
5. Nasledov A.D. IBM SPSS Statistics 20 and AMOS: professional statistical data analysis. St. Petersburg: Piter; 2013. 416 p. (In Russian).
6. Rubtsova N.E., Lenkov S.L. Statistical methods in psychology : textbook and practicum for universities. 3<sup>rd</sup> ed., revised and enlarged. Мoscow: Urait; 2023. 311 p. (In Russian).
7. Krylov V.Yu. Methodological and theoretical problems of mathematical psychology. Moscow: Yanus-K; 2000. 374 p. (In Russian).
8. Gadzhigasanova N.S. Methods of applied statistics for sociologists. Ufa: Bashkir State University; 2020. 48 p. (In Russian).
9. Batarshev A.V. Psychodiagnostics of borderline personality and behaviour disorders. Moscow: Publ. House of the Institute of Psychotherapy; 2004. 319 p. (In Russian).
10. Rajgorodskij D.Ya. Practical psychodiagnostics. Techniques and tests : textbook. Samara: Bahrah-M; 2022. 667 p. (In Russian).
11. Khromov A.B. Five-factor personality questionnaire: study guide. Kurgan: Publ. House of Kurgan State University; 2000. 23 p. (In Russian).
12. Basimov M.M. The study of statistical relations in psychological research : monograph. Moscow: Publ. House of Moscow Psychological and Social university; 2008. 429 p. (In Russian).
13. Basimov M.M. Models of significant typical errors at the correlational analysis of complex psychological reality. Uchenye Zapiski RGSU. 2017;4(143(16):5–19. (In Russian). URL: https://elibrary.ru/yocuqq?ysclid=ltzjxj7wwc479220991
14. Danilov Yu.A. Nonlinearity. In: The wonderful world of science : collected papers. Moscow: Progress-Tradition; 2008. Pp. 159–167. (In Russian).
15. Basimov M.M. Mathematical methods in psychological research : monograph. Saarbrücken: LAP LAMBERT Academic Publishing; 2011. 192 p.
16. Basimov M.M. Study of political preferences and type 2 errors in the traditional correlation approach. In: Humanities and Social Sciences: Novations, Problems, Prospects (HSSNPP 2019): Proceedings of the Internation Conference, Novosibirsk, March 05–06, 2019. Novosibirsk: Atlantis Press; 2019. Pp. 11–18.
17. Basimov M.M. Study of political preferences and type 1 errors in the traditional correlation approach. In: Communicative Strategies of Information Society (CSIS 2018): Proceedings of the International Conference, St. Petersburg, October 26–27, 2018. St. Petersburg: Atlantis Press; 2019. Pp. 488–494.
18. The European Federation of Psychologists’ Associations. The 11<sup>th</sup> European Congress of Psychology: Abstracts, Poster Sessions, Oslo, July 07–10, 2009. Oslo: Norwegian Psychological Association; 2009. 940 p.
19. The European Federation of Psychologists’ Associations. The 12<sup>th</sup> European Congress of Psychology: Abstracts, Poster Sessions, Istanbul, July 04–08, 2011. 1775 p.
20. The European Federation of Psychologists’ Associations. The 14<sup>th</sup> European Congress of Psychology: Abstracts, Poster Sessions, Milan, July 07–10, 2015. 1049 p.
21. XVI European Congress of Psychology (ECP 2019): Proceedings, Moscow, 02–05 July, 2019. Moscow: Moscow State University. Publ. House; 2019. 2157 p.
22. XXX International Congress of Psychology: Abstracts. International Journal of Psychology. 2012;47. 804 p.
23. XXXI International Congress of Psychology: Abstracts. International Journal of Psychology. 2016. 1779 p.
Review
For citations:
Basimov M.M. Real dependencies and significant correlations for the indicator “conformity ― non-conformity” (the model of quarts of independent variable). Vestnik Universiteta. 2024;(1):211-222. (In Russ.) https://doi.org/10.26425/1816-4277-2024-1-211-222