Five-factor model; Machine learning; Neural networks; Personality assessment; Short measures; Ten-Item Personality Inventory; Test construction; Five-Factor Model; Personality assessments; Test constructions; Computer Science (all); Mathematics (all)
Abstract :
[en] This study aims to present a new method of exploring construct validity of questionnaires based on neural network. Using this test we further explore convergent validity for Russian adaptation of TIPI (Ten-Item Personality Inventory by Gosling, Rentfrow, and Swann). Due to small number of questions TIPI-RU can be used as an express-method for surveying large number of people, especially in the Internet-studies. It can be also used with other translations of the same questionnaire in the intercultural studies. The neural network test for construct validity can be used as more convenient substitute for path model.
Disciplines :
Computer science
Author, co-author :
SERGEEVA, Anastasia ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Cognitive Science and Assessment ; ITMO University, Saint Petersburg, Russian Federation
Kirillov, Bogdan; Skolkovo Institute of Science and Technology, Moscow, Russian Federation
Dzhumagulova, Alyona; ITMO University, Saint Petersburg, Russian Federation
External co-authors :
yes
Language :
English
Title :
Neural network-based exploration of construct validity for russian version of the 10-item big five inventory
Publication date :
2018
Event name :
Digital Transformation and Global Society - Third International Conference, DTGS 2018
Event place :
St. Petersburg, Russia
Event date :
from 30.05.2018 to 02.06.2018
Audience :
International
Main work title :
Digital Transformation and Global Society - Third International Conference, DTGS 2018, Revised Selected Papers
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