Development and Approbation of Methods for Diagnostics of Predisposition to Monosemantic or Polysemantic Context Generation | Zendy

Н.А. Хохлов | Zendy; G. Laskov | Zendy

Open Access

Development and Approbation of Methods for Diagnostics of Predisposition to Monosemantic or Polysemantic Context Generation

Author(s) -

Н.А. Хохлов,

G. Laskov

Publication year - 2019

Publication title -

psychological science and education

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.215

H-Index - 2

eISSN - 2311-7273

pISSN - 1814-2052

DOI - 10.17759/pse.2019240309

Subject(s) - personality , psychology , context (archaeology) , cronbach's alpha , variance (accounting) , cognition , measure (data warehouse) , reliability (semiconductor) , cognitive psychology , social psychology , psychometrics , developmental psychology , computer science , data mining , psychiatry , paleontology , power (physics) , physics , accounting , quantum mechanics , business , biology

This article focuses on the development of methods to measure personality and cognitive predisposition to monosemantic or polysemantic context generation (PCG).In accordance with the concept of V.S. Rotenberg, we assumed that PCG was connected with manual functional asymmetry. We developed four tests: one was designed to measure personality PCG, the other three measure cognitive PCG. Approbation samples consisted of 160—736 participants. Cronbach's alpha (0.67—0.93) and split-half coefficient (0.72—0.93) were calculated for all tests, for two of them test-retest reliability (0.47—0.91) was measured. Variance of personal PCG on 21.7% is explained by the variance of personality traits “reticence-sociability” and “concreteness-abstractness”. Personality and cognitive PCG are interconnected, but they have a fair amount of specificity. Manual functional asymmetry is weakly connected with personal PCG (not more than 1.5% of the common variance) and is not connected with cognitive PCG

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