Application of Multi-Level Model in the Analysis of Influencing Factors of Mathematics Examination in Middle School

2019 ◽  
Vol 08 (02) ◽  
pp. 191-196
Author(s):  
川 秦
Author(s):  
Eunyoung Kim ◽  
◽  
Soonbum Kwon ◽  
Meejung Chin ◽  
◽  
...  

2021 ◽  
Author(s):  
Li Hongbin ◽  
Li Zhuo ◽  
Li Xiaodan ◽  
Zhao Jing ◽  
Wang Guixiang ◽  
...  

Abstract Objective: To investigate the current status of children's sleep in Beijing and analyze the influencing factors that affect it. Methods:Using multi-stage stratified cluster random sampling, a total of 11420 children aged 3-14 in 7 districts in Beijing were included in the study. The Pediatric Sleep Questionnaire (PSQ) was used to investigate and analyze various factors influencing sleep. Multi-level model was used to analyze the relationship between PSQ score and related factors. Results: The average PSQ score of the children surveyed was 3.60 ± 2.69 points. If the score is greater than 7, it is considered that there may be sleep quality problems . The proportion of children with sleep quality problems was more than 8%. Multi-level model analysis results show that younger children have higher PSQ scores than older children. Boys have higher PSQ scores than girls. Conclusion: The sleep quality of children in Beijing is not optimistic. The PSQ score of preschool children is higher than school age children. It is recommended that parents pay attention to children’s sleep status and try to remove influencing factors.


2021 ◽  
Vol 11 (5) ◽  
pp. 656
Author(s):  
Pierluigi Zoccolotti ◽  
Paola Angelelli ◽  
Chiara Valeria Marinelli ◽  
Daniele Luigi Romano

Background. Skill learning (e.g., reading, spelling and maths) has been predominantly treated separately in the neuropsychological literature. However, skills (as well as their corresponding deficits), tend to partially overlap. We recently proposed a multi-level model of learning skills (based on the distinction among competence, performance, and acquisition) as a framework to provide a unitary account of these learning skills. In the present study, we examined the performance of an unselected group of third- to fifth-grade children on standard reading, spelling, and maths tasks, and tested the relationships among these skills with a network analysis, i.e., a method particularly suited to analysing relations among different domains. Methods. We administered a battery of reading, spelling, and maths tests to 185 third-, fourth-, and fifth-grade children (103 M, 82 F). Results. The network analysis indicated that the different measures of the same ability (i.e., reading, spelling, and maths) formed separate clusters, in keeping with the idea that they are based on different competences. However, these clusters were also related to each other, so that three nodes were more central in connecting them. In keeping with the multi-level model of learning skills, two of these tests (arithmetic facts subtest and spelling words with ambiguous transcription) relied heavily on the ability to recall specific instances, a factor hypothesised to underlie the co-variation among learning skills. Conclusions. The network analysis indicated both elements of association and of partial independence among learning skills. Interestingly, the study was based on standard clinical instruments, indicating that the multi-level model of learning skills might provide a framework for the clinical analysis of these learning skills.


Author(s):  
Smriti Anand ◽  
Jeremy D. Meuser ◽  
Prajya R. Vidyarthi ◽  
Robert C. Liden ◽  
Denise M. Rousseau ◽  
...  

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