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Jianzhong Xu – European Journal of Psychology of Education, 2024
The present study investigated multilevel models posited to predict student approaches to homework. Participants were 1,072 middle school students in China. Results revealed that deep and surface approaches were positively associated with performance-approach. Furthermore, deep approach to homework was associated negatively with homework cost, yet…
Descriptors: Homework, Hierarchical Linear Modeling, Predictor Variables, Middle School Students
Xu, Jianzhong; Corno, Lyn – Metacognition and Learning, 2022
Informed by two theoretical models of homework effects, we extended a model of homework on mathematics achievement in a large sample of Chinese eighth graders. Our model incorporated six clusters of homework variables -- student background factors, homework characteristics, teacher variables, parent variables, student motivation, and homework…
Descriptors: Models, Homework, Hierarchical Linear Modeling, Foreign Countries
Sun, Xiaojing; Hendrickx, Marloes M. H. G.; Goetz, Thomas; Wubbels, Theo; Mainhard, Tim – Journal of Experimental Education, 2022
In line with assumptions made by the control-value theory of academic emotions, it was hypothesized that the association between the classroom social environment, in terms of students' perceptions of their teachers' interpersonal behaviour, and students' academic emotions was partially mediated by students' achievement goals. The present study…
Descriptors: Classroom Environment, Psychological Patterns, Academic Achievement, Student Attitudes
Ma, Xiaorong; Marion, Russ – Educational Management Administration & Leadership, 2021
This study employed a multilevel modeling approach to examine the impact of principal instructional leadership on teacher efficacy and the mediating role played by faculty trust in that process. A total of 50 secondary school principals and 714 teachers in a minority region of Western China participated in the study. The results indicate that…
Descriptors: Instructional Leadership, Self Efficacy, Hierarchical Linear Modeling, Teacher Administrator Relationship
Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical Analysis
Qian, Quan; Lau, Kit-ling – Journal of Research in Reading, 2022
Background: Research has shown that achievement goals and reading instruction play important roles in students' reading performance. However, little is known about the specific effects of different types of achievement goals and reading instructional practices on reading performance in mainland China. Methods: This study used Programme of…
Descriptors: Achievement Gains, School Districts, Teaching Methods, Reading Achievement
Guo, Qing; Qiao, CuiLan; Ibrahim, Bashirah – Journal of Science Education and Technology, 2022
Information and communication technology (ICT) is key to educational development. This study explores the mechanism influencing the use of ICT on students' science literacy. We utilized two-level hierarchical linear models and structural equation models to analyze data collected from the 2015 Program for International Student Assessment (PISA) in…
Descriptors: Correlation, Scientific Literacy, Information Technology, Personal Autonomy