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Direct linkYasuhiro Yamamoto; Yasuo Miyazaki – Journal of Experimental Education, 2025
Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…
Descriptors: Sample Size, Hierarchical Linear Modeling, Bayesian Statistics, Prior Learning
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
Wang, Yubing; Zhang, Tan; Chen, Ang – Journal of Teaching in Physical Education, 2021
Purpose: The purpose of this study was to determine the 3-year trajectory of students' interest in learning physical activity (PA) knowledge during middle school and the effects of gender and prior knowledge on the trajectory. Methods: Using a repeated-measures design, a cohort of 447 sixth-grade students' interest in learning PA knowledge was…
Descriptors: Physical Activities, Gender Differences, Prior Learning, Middle School Students
