The current research aimed to examine the relationships among three key aspects of the language learning process, namely, foreign language boredom (FLB), English language engagement (ELE), and academic buoyancy (AB), utilizing data collected from 2,992 Chinese language learners. In order to strengthen the accuracy and robustness of the results, we…

Organic chemistry presents a significant obstacle for students seeking entry into health-related professions. Students' ability to develop effective study approaches is an important predictor of success in the course. Herein, we report an investigation utilizing an OCH-adjusted M-ASSIST instrument to assess possible changes in students' study…

We test children's distributive and collective sentence interpretations and the variables that predict them. In our first experiment, we establish that adult English collective sentences with "the" or "some" in the subject are categorically collective in their interpretations. We further demonstrate that children's collective…

The study seeks to explore the influence of university-enterprise collaboration orientation on university's performance. Specifically, the study investigates the effects of alliance scanning, alliance coordination, and alliance learning on university's innovative performance and market performance. The effects were tested on the sample of 191…

Purpose and Background: Despite the flexibility of multilevel structural equation modeling (MLSEM), a practical limitation many researchers encounter is how to effectively estimate model parameters with typical sample sizes when there are many levels of (potentially disparate) nesting. We develop a method-of-moment corrected maximum likelihood…

Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both…

Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance-covariance matrix of the factor…

The demand-resource framework is widely used to predict burnout in occupational context. This cross-sectional study aimed to explore the links of school demands and resources to student burnout. Six hundred and ninety-six Hungarian students from secondary schools participated in the data collection using online survey method in classrooms.…

Developing students' self-regulated learning (SRL) is crucial for nurturing the life-long learners needed in modern and future society. This study adopted structural equation modelling to explore the relationships among self-regulatory climate, group regulation in project-based learning (PBL) and individual regulatory ability. The results indicate…

Strategic agility is seen as a crucial necessity for organizations to achieve superior organizational performance. However, it is uncommon to find a research framework that explains the relationship of strategic agility with its antecedents and organizational performance, especially in the private higher education sector of Malaysia. As such, it…

Multilevel structural equation (MSEM) models allow researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This paper…

This study examines the relationship between classroom goal structures, student goal orientations, and mathematics achievement in China and compare the pattern of relationship between Chinese Miao and Han students. Data on 532 Chinese students (including 211 Han and 321 Miao students) were analyzed using structural equation models. The results of…

Purpose: The purpose of this study is to examine the effect of students' self-regulation, co-regulation and behavioral engagement on their performance in flipped learning environments in higher education. Design/methodology/approach: The subjects were college students taking an education course offered at a 4-year university in South Korea.…

The present cross-sectional study examined the interrelationships between mindfulness, self-compassion, gratitude, and burnout in a sample of Health Service Psychology doctoral trainees (n = 234) using structural equation modeling. Results suggested that mindfulness, self-compassion, and gratitude may each function as important internal resources…

This study investigates the impact of perezhivanie, a concept encompassing emotional experiences and their personal significance on English-speaking proficiency and speaking anxiety among Chinese learners of English as a Foreign Language (EFL). The study focuses on the emotional and cognitive dimensions of perezhivanie to understand its dual role…