Big Five vs MI-Sins in Personality Structure, Psychophysiological Testing Results
The group of 75 respondents was psychophysiological studied using 3 questionnaires based on various personality models (structures) under identical conditions (5 seconds per text and image stimulus) using Blitz Judgment program. Psychophysiological responses to stimuli were measured by vibraimage technology. The Big Five questionnaire includes 60 stimuli, representing the personality structure based on 5 superscales (domains), each is represented by 3 scales (facets), including 2 direct and 2 inverse stimuli for each scale. The MI-Sins questionnaire includes 48 stimuli, representing personality structure based on 2 superscales, multiple intelligences and personality vices, each superscale includes scales of 12 multiple intelligences and 12 personality vices, also including a direct and inverse stimulus for each scale. The MI-TRV questionnaire includes 48 stimuli and represents the personality structure based on 2 superscales, multiple intelligences and traditional Russian values, each superscale includes scales of 12 multiple intelligences and 12 traditional Russian values, also including a direct and inverse stimulus for each scale. Correlation dependencies and distributions of respondent’s psychophysiological responses to the stimuli of these questionnaires were constructed and analyzed. The calculation of correlation coefficient of the personality structure is proposed as the main indicator of the personality model optimality. Claimed that the optimal model of personality is a structure with a minimum level of scales and superscales correlation by psychophysiological responses.
Authors
- E. Yu. Shchelkanova (ORCID: https://orcid.org/0000-0003-0672-8820)
- В.А. Минкин (ORCID: https://orcid.org/0000-0001-7331-4199)
- Ya.N. Nikolaenko
Institutions
- Ansys (United States) (US)
- Technopolis (Finland) (FI)
- Technopolis (BE)
Publication Details
- Published
- 2025-06-21
- DOI
- https://doi.org/10.25696/elsys_mpvt_08_en01
- Primary Topic
- Technology and Human Factors in Education and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00