텍스트마이닝을 활용한 유아 어머니 양육태도 연구의 동향

Trends in Research on Parenting Attitudes of Young Children's Mothers Using Text Mining

This study aims to examine the trends of research related to mothers' parenting attitudes by analyzing academic journal papers published with the keyword 'infant mother rearing attitude' from 2000 to 2022. The research target papers are 587 domestic academic papers collected using the database of the academic research information service. The collected data was analyzed using a network analysis method using big data. As a result of the study, first, as a result of examining the frequency analysis and connection centrality of major keywords in research papers from 2000 to 2022, studies related to mothers, infants, parenting attitudes, and influences were predominant. Connection centrality was highest in infants, followed by mother, parenting attitude, influence, relationship, sociality, temperament, and emotion. Second, as a result of modeling the main keyword topics, the themes appeared in the order of mother, infant, parenting attitude, influence, relationship, sociality, emotion, temperament, problem behavior, and mediating effect. Third, as a result of analysis by Concor network, it was classified into 7 groups. Based on this, it is meaningful to seek future research topics and directions related to infant mothers' parenting attitudes and to provide basic data related to parental education.