Clinical predictors and noninvasive imaging in Fontan-associated liver disease: A systematic review and meta-analysis
- Author(s)
- Jae Hee Seol; Jinyoung Song; Soo Jin Kim; Hoon Ko; Jae Yoon Na; Min Jung Cho; Hee Joung Choi; Jue Seong Lee; Kyung Jin Oh; Jo Won Jung; Se Yong Jung
- Keimyung Author(s)
- Choi, Hee Joung
- Department
- Dept. of Internal Medicine (내과학)
- Journal Title
- Hepatol Commun
- Issued Date
- 2024
- Volume
- 8
- Issue
- 12
- Keyword
- teacher leadership; data mining; sports curriculum; autonomy-support behavior; motivation; student sex differences; regional differences; meta-analysis
- Abstract
- Introduction:
This study systematically reviewed and analyzed both qualitative and quantitative studies that focused on the relationship between physical education (PE) teachers’ leadership and student outcomes using data mining and meta-analysis.
Methods:
Using the Scopus, PsycINFO, PubMed, and SPORTDiscus databases, text data from the included 150 relevant articles were examined through a text data mining approach. Quantitative and mixed-method studies were then further evaluated, yielding 49 articles eligible for inclusion in the meta-analysis.
Results:
Findings from the data-mining analysis using Leximancer revealed eight major themes associated with PE teacher leadership, emphasizing motivation, education, support, and teaching. Results from the meta-analysis using the Comprehensive Meta-Analysis software showed that autonomy-supporting behaviors showed strong positive effects on student satisfaction, motivation, competence, and engagement. Regional differences in research focus were observed, with health being less emphasized in Asian and European studies. Student sex emerged as a moderating factor.
Conclusion: The study highlights the role of PE teacher leadership and the convergence/divergence among research findings. Moreover, applying the HDST approach to synthesize both qualitative and quantitative articles provided a deeper and more comprehensive understanding of leadership within the PE field.
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