Relationship among Children's Executive Function Difficulty, School Adjustment and Happiness: Using Autoregressive Cross-Lagged Modeling

This study investigated the relationship between children's executive function difficulty, school adjustment, and happiness using autoregressive cross-lagged modeling. For this purpose, data were drawn from the 9th (T1) through 11th (T3) waves (2016–2018) of the Panel Study on Korean Children (PSKC). A total of 1,329 children participated in the study. Data were analyzed using descriptive statistics, Pearson correlation analysis, and autoregressive cross-lagged modeling with SPSS 25.0 and AMOS 23.0. The major findings were as follows. First, it was confirmed that children’s executive function difficulty, school adjustment, and happiness at a previous time point had a longitudinal effect on those at a later time point. This study also revealed that children’s executive function difficulty, school adjustment, and happiness at an earlier point positively contributed to maintaining those characteristics at a later point. Second, reciprocal causation was identified between children’s executive function difficulty and school adjustment, as well as between school adjustment and happiness. However, reciprocal causation between children’s executive function difficulty and happiness was not observed. This study highlights the importance of children’s executive function difficulty, school adjustment, and happiness in child development. The findings will also contribute to the design of programs aimed at promoting children's executive function, school adjustment, and happiness.

Authors

Publication Details

Journal
Human Ecology Research
Published
2025-02-26
DOI
https://doi.org/10.6115/her.2025.009
Citations
1
Primary Topic
Psychosocial Factors Impacting Youth
Type
article
Field-Weighted Citation Impact
4.20
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article

Relationship among Children's Executive Function Difficulty, School Adjustment and Happiness: Using Autoregressive Cross-Lagged Modeling

Ji-Young Lim, Hye-Won Kim
1 citations
Human Ecology Research
Psychosocial Factors Impacting Youth
4.20
article

Relationship among Children's Executive Function Difficulty, School Adjustment and Happiness: Using Autoregressive Cross-Lagged Modeling

Ji-Young Lim, Hye-Won Kim
article en
1 citations

Abstract

This study investigated the relationship between children's executive function difficulty, school adjustment, and happiness using autoregressive cross-lagged modeling. For this purpose, data were drawn from the 9th (T1) through 11th (T3) waves (2016–2018) of the Panel Study on Korean Children (PSKC). A total of 1,329 children participated in the study. Data were analyzed using descriptive statistics, Pearson correlation analysis, and autoregressive cross-lagged modeling with SPSS 25.0 and AMOS 23.0. The major findings were as follows. First, it was confirmed that children’s executive function difficulty, school adjustment, and happiness at a previous time point had a longitudinal effect on those at a later time point. This study also revealed that children’s executive function difficulty, school adjustment, and happiness at an earlier point positively contributed to maintaining those characteristics at a later point. Second, reciprocal causation was identified between children’s executive function difficulty and school adjustment, as well as between school adjustment and happiness. However, reciprocal causation between children’s executive function difficulty and happiness was not observed. This study highlights the importance of children’s executive function difficulty, school adjustment, and happiness in child development. The findings will also contribute to the design of programs aimed at promoting children's executive function, school adjustment, and happiness.

Human Ecology ResearchVol. 63(1)
Openalex Percentile: Top 9%
Psychosocial Factors Impacting Youth
4.20
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Relationship among Children's Executive Function Difficulty, School Adjustment and Happiness: Using Autoregressive Cross-Lagged Modeling — Ji-Young Lim, Hye-Won Kim · Human Ecology Research (2025) | TGRS Research Map | TGRS