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SOFT MODELS AS A FORM OF THE MATHEMATIZATION OF SOCIAL KNOWLEDGE
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SOFT MODELS AS A FORM OF THE MATHEMATIZATION OF SOCIAL KNOWLEDGE
Annotation
PII
S0132-16250000392-7-1
Publication type
Article
Status
Published
Authors
Irina Lebedeva 
Edition
Volume 369 Issue
Pages
79-84
Abstract
Outlook for mathematization of sociological knowledge basing on the use of soft models to render approximate description of hard model class. They are co-related with the goals of empirical and theoretical sociology that determines levels of knowledge representation. Classification of soft stochastic models is suggested, which permits to take into consideration heuristic degree of mathematical modeling of social systems.
Keywords
migrant, social attitude, cross-cultural study, European value studies, World value studies, secondary analysis, factor analysis
Date of publication
01.01.2015
Number of purchasers
1
Views
442
Readers community rating
0.0 (0 votes)
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References



Additional sources and materials

Arnol'd V.I. “Zhestkie” i “myagkie” matematicheskie modeli. M.: MCNMO, 2011.


Tolstova Yu.N., Voronina N.D. O neobhodimosti rasshireniya ponyatiya sociologicheskogo izmereniya // Sociologicheskie issledovaniya. 2012. № 7. S. 67–77.


Tolstova Yu.N. Metodologiya matematicheskogo analiza dannyh // Sociologicheskie issledovaniya. 1990. № 6. S. 77–87.


Tatarova G.G. Metodologiya analiza dannyh v sociologii. M., 1998.


Kolesnikov A.K., Lebedeva I.P. Investigation of causality based on complex use of statistical methods (case study of social research) // Quality&Quantity. 2013. V. 47 (6). P. 3043–3050.

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