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논문 기본 정보

자료유형
학술저널
저자정보
이상미 (이화여자대학교) 김남희 (이화여자대학교) 김남희 (이화여자대학교)
저널정보
중앙대학교 한국인적자원개발전략연구소 역량개발학습연구 역량개발학습연구(구 한국HRD연구) 제17권 제4호
발행연도
2022.12
수록면
67 - 96 (30page)

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초록· 키워드

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The purpose of this study is to use Korea Children and Youth Panel Survey 2018 (KCYPS 2018) data to identify latent profile types for fandom activity in the first year of middle school and school adjustment competency in the third year of middle school, and to analyze the transition patterns and predictive factors to each time point. For this purpose, latent transition analysis was conducted. Fandom activities were found to be active when academic helplessness was high or life satisfaction was low. Female students were more likely to be in the online type and male students were more likely to be in the normal type of fandom activity. It was found that the lower the academic helplessness, the higher the life satisfaction, the more positive parenting attitude, the higher the grades, the higher the likelihood of belonging to the excellent school adjustment group. In the passive type of fandom activity, based on the poor school adjustment group or the average school adjustment group, the lower the academic helplessness, the higher the possibility of transfer to the excellent school adjustment group. Through the analysis of the latent profile, it was possible to distinguish the latent classes for the middle school student fandom activities and the school life adjustment group. Individual factors, family factors, and school factors affecting school life adjustment, which were not identified in previous studies, were analyzed inclusively. It is meaningful in that it revealed that factors such as academic helplessness, life satisfaction, parenting attitudes, and academic achievement satisfaction were important in the transition of the potential profile type of fandom activities to school adjustment. Previous studies have used only KCYPS 2018 1st year data as cross-sectional data, but this study is meaningful in that it used longitudinal data including data from 3rd year to analyze metastasis.

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