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ID 118086
Author
Inoue, Hiroki Niigata University of Health and Welfare
Content Type
Journal Article
Description
This study examines predictive associations between psychosocial variables as independent variables and “Change in Time Spent Studying by Students” as the dependent variable. Data collected by the Cabinet Office of Japan amid the COVID-19 pandemic are analyzed with multivariate models to screen for the best combination of variables that can account for the effects on the dependent variable. A series of binary logistic regression analyses illuminates that the model with motivation to study, anxiety, life satisfaction, satisfaction with health status, and satisfaction with social bonds as explanatory variables is the fittest of all tested models. In particular, the importance of motivation, anxiety, and life satisfaction is deliberated regarding their effects on study-related variables. Furthermore, these variables’ implications for evidence-based school policies and curricula are discussed.
Journal Title
JAILA Journal
ISSN
21894183
Publisher
Japan Association of International Liberal Arts
Volume
9
Start Page
44
End Page
55
Published Date
2023-03
Remark
本論文の著作権は日本国際教養学会(JAILA)に属する
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Author
departments
Liberal Arts and Sciences
Integrated Arts and Sciences