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Iranian EFL teachers’ self-efficacy: structural equation modeling of the consequences
Within the field of teacher education, the concept of self-efficacy—which includes teachers' self-perceptions of their competence and abilities in...
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Exploring the Effects of Technology-Related Informal Mathematics Learning Activities: A Structural Equation Modeling Analysis
Despite the burgeoning adoption of informal learning in people’s daily lives, the actual effects of informal learning activities, especially...
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The Role of Higher Education in Intergenerational Mobility: An Exploration Using Multilevel Structural Equation Modeling
Traditional research on the role of higher education in intergenerational mobility scrapes the surface of how complex institutional environments...
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Self-regulation matters: Examining the relationship between classroom learning environments and student motivation through structural equation modeling
The classroom learning environment plays a crucial role in promoting student motivation. With this in mind, this study investigates the relationship...
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How Does Family Socioeconomic Status Influence Children’s Reading Ability? Evidence from Meta-analytic Structural Equation Modeling
Many studies have shown that family socioeconomic status (SES) influences the development of children’s reading ability; however, the mechanisms...
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A structural equation modeling of English tests’ social and educational consequences: exploring target, leverage, risk, and critical variables
Though the emergence of standardized testing promoted classical approaches such as summative achievement tests, it brought about serious criticisms...
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Contributions of Ideal L2 Self, Grit, and Boredom to Engagement in an EFL Context: A Structural Equation Modeling Approach
The emergence of Positive Psychology in second language acquisition has placed greater emphasis on the vital role of engagement in learning English...
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Metacognitive writing strategies, critical thinking skills, and academic writing performance: A structural equation modeling approach
The present study adopted the structural equation modeling approach to examine Chinese university students’ metacognition, critical thinking skills,...
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Investigating the Interplay Among EFL Teachers’ L2 Grit, Self-efficacy, and Self-regulation: A Structural Equation Modeling Analysis
Due to the pure novelty of the concept of teacher L2 grit, scant research attention has been dedicated to the exploration of its antecedents within...
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The effect of academic emotion regulation on EFL learners’ core of self-assessment and academic buoyancy: a structural equation modeling
Students are essential parts of society, and their mental health and emotional safety as well as a sense of purpose, achievement, and success are the...
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Unifying EFL learners’ online self-regulation and online motivational self-system in MOOCs: A structural equation modeling approach
Being renowned as the state-of-the-art of open educational movement, Massive Open Online Courses (MOOCs) have been expanded noticeably in online...
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An Illustration of Local Structural Equation Modeling for Longitudinal Data: Examining Differences in Competence Development in Secondary Schools
In this chapter, we discuss how a combination of longitudinal modeling and local structural equation modeling (LSEM) can be used to study how...
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Factors influencing the complex problem-solving skills in reflective learning: results from partial least square structural equation modeling and fuzzy set qualitative comparative analysis
BackgroundThe Organization for Economic Cooperation and Development emphasizes the importance of complex problem-solving (CPS) skills in the 21st...
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The relationship between epistemological beliefs, reflective thinking, and science identity: a structural equation modeling analysis
BackgroundScience identity is widely regarded as a key predictor of students’ persistence in STEM fields, while the brain drain in STEM fields is an...
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Predicting the life satisfaction of education workers in Turkey: a meta-analytic structural equation modeling
In the literature, there are a great number of primary studies that examine the relationship between professional burnout, job satisfaction, and life...
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Concepts and Applications of Multivariate Multilevel (MVML) Analysis and Multilevel Structural Equation Modeling (MLSEM)
Multilevel or hierarchical models (MLM, HLM) are widely used in analyzing the nested data in educational research over the past decades. The current...
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Illuminating the Post-Graduation Impact of Undergraduate Participation in High-Impact Practices Using Propensity Score Analysis with Structural Equation Modeling
As colleges and universities grapple with uncertainty around current and future enrollment as well as increasingly vocal questions about the value of...
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Applying Structural Equation Modeling to Assess Factors of Primary School Mathematics Teachers’ Knowledge of Students’ Misconceptions
The study assessed the relationship between career preparation, beliefs, attitudes, in-service training, and peer communication of primary school...
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Key antecedents of maximal levels of aspiration and minimal boundary goals: a structural equation modeling analysis
Research findings indicate that two types of goals, which focus on the lowest (highest) levels of achievement possible in a learning setting, are...
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How to Make Recommendations for Educational Practice from Correlational Data Using Structural Equation Models
In this commentary, we outline a five-phase process by which recommendations for educational practice can be distilled from correlational data using...