Keyword Network Analysis of Articles on Resilience of Young children published in South Korea

Seenyoung Park, Eonkyung Kim
page. 159~177 / 2024 Vol.18 No.1


The aim of this study is to investigate the future research direction by utilizing keyword network analysis to analyze topics related to resilience in young children. For this purpose, among the journal papers listed in the Korean Journal Citation Index from 2002 to 2023. The keywords from these papers were extracted, and in-degree and out-degree centrality, betweenness centrality, and networks sociogram were analyzed through keyword network analysis. The findings of this study are as follows: Firstly, in Korean research on resilience of young children, resilience was expressed using eight different terms, and diverse sub-elements were observed accordingly. Secondly, keywords such as self-resilience, which encompasses sub-elements like autonomy, self-control, attachment, concerned behavior, recovery resilience, and resilience, which encompasses sub-elements like resilient competence, relational resilience, and emotional resilience, emerged as important in the analysis. Additionally, crucial keywords associated with young children's resilience included externalizing problem behavior, teacher-child conflict, teacher-child intimacy, pro-sociality, flow, emotion regulation, happiness, playfulness, mothers' parenting efficacy, adjustment to ECEC centers, gender of children, psychological health, and peer interaction. Through this study, we have identified and discussed the key topics related to the resilience of young children, explored the variables influencing their resilience, and examined strategies for enhancing their resilience.

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