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Psychological Science and Education

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 1814-2052

ISSN (online): 2311-7273


License: CC BY-NC 4.0

Started in 1996

Published 6 times a year

Free of fees
Open Access Journal


Factor Analysis of Society’s Moral State Indices in European Countries 1461


Ivanova E.G.
Psychologist, Applied Informatics Chair, Department of Information Technologies, Moscow State University of Psychology and Education, Moscow, Russia

Kuravsky L.S.
Doctor of Engineering, Dean of the Computer Science Faculty , Moscow State University of Psychology and Education , Moscow, Russia

Marmalyuk P.A.
PhD in Engineering, Head of the Laboratory of Psychology and Applied Software, Moscow State University of Psychology & Education, Moscow, Russia

Yurevitch A.V.
PhD in Psychology, Deputy director of the Institute of Psychology, Russian Academy of Science. Corresponding member of Russian Academy of Science., Moscow, Russia

The paper presents the instrument and the results of factor analysis of developmental and interaction characteristics dynamics that define the index of the moral state of society, developed by the Institute of Psychology, Russian Academy of Sciences. The alternative way of confirmatory factor analysis and Trained Markov Networks revealed a number of developmental patterns of problematic characteristics that indicate usage appropriateness of this index. The advantages of the applied type of factor analysis include: the possibility of finding estimates of free parameters of the model via direct methods (and not by iteration), that guarantee an unambiguous and optimal solution, flexible means of studying the factor interactions and the applicability of covariance and correlation matrices of arbitrary structure for the analysis. Markov Networks, in turn, revealed new types of indicators that are inaccessible to conventional approaches.

Keywords: morality, the index of the moral state of society, factor analysis, the Markov Networks

Column: Interdisciplinary Researches

For Reference

  1. Kramer G. Matematicheskie metody statistiki. M., 1976.
  2. Kuravskii L. S., Kornienko P. A. Primenenie neironnyh setei dlya identifikacii lokusov kolichestvennyh priznakov v psihogenetike. Neirokomp'yutery: razrabotka i primenenie. 2007. № 4.
  3. Kuravskii L. S., Marmalyuk P. A., Baranov S. N., Abramochkina V.I ., Petrova E. A. Faktornyi analiz rezul'tatov veivlet-preobrazovanii longityudnyh dannyh kak novyi metod issledovaniya dinamicheskih harakteristik slozhnyh sistem. Neirokomp'yutery: razrabotka i primenenie. 2009.№ 9.
  4. Yurevich A. V. Nravstvennost' kak psihologicheskaya problema // Voprosy psihologii. 2009. № 4.
  5. Yurevich A. V., Ushakov D. V. Makropsihologiya kak novaya oblast' psihologicheskih issledovanii // Voprosy psihologii. 2007. № 4.
  6. Yurevich A. V., Ushakov D. V., Capenko I. P. Kolichestvennaya ocenka akropsihologicheskogo sostoyaniya sovremennogo rossiiskogo obshestva // Psihologicheskii zhurnal. 2007. № 4.
  7. Bollen K. A. Structural equations with latent variables. New York, 1989.
  8. Jöreskog K. G. Estimation and testing of simplex models. British Journal of Mathematical and Statistical Psychology. Vol. 23.
  9. Kuravsky L. S., Baranov S. N. The concept of multifactor Markov networks and its application to forecasting and diagnostics of technical systems // In: Proc. Condition Monitoring 2005, Cambridge, United Kingdom, 2005.
  10. Kuravsky L. S., Baranov S. N. Development of the wavelet-based confirmatory factor analysis for monitoring of system factors // In: Proc. 5th International Conference on Condition Monitoring & Machinery Failure Prevention Technologies, Edinburgh, United Kingdom, 2008.
  11. Kuravsky L. S., Baranov S. N. Neural networks in fatigue damage recognition: diagnostics and statistical analysis // In: Proc. 11th International Congress on Sound and Vibration, St.-Petersburg, Russia, 2004.
  12. Kuravsky L. S., Kornienko P. A. On the approach to identifying quantitative trait loci in behavior genetics. In: Proc. 2nd World Congress on Engineering Asset Management and 4th International Conference on Condition Monitoring, Harrogate, United Kingdom, 2007.
  13. Neale M. C., Cardon L. R. Methodology for genetic studies of twins and families. Dordrecht, the Netherlands, Kluwer Academic Publishers, 1992.

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