Analysis of the Big Five Personality Inventory by structural learning of Bayesian networks with ordinal variables
Currently,the Big Five Personality Inventory is one of the most authoritative personality trait assessment tools available,which is usually recorded in the form of ordinal data.For structure learning in Bayesian networks about the Big Five Personality Inventory,we select the Big Five Personality Inventory of 1 861 Southeast Asians and apply the OPC algorithm to analyze the questionnaire.The results show that the survey items are more correlated to each other within each trait.
Bayesian networksordinal variableOPCBig Five Personality
NETL
NSTL
万方数据
