NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 106 to 120 of 7,062 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zuhal Yöntem; Murat Agirkan – School Mental Health, 2025
This study aimed to examine the psychosocial predictors of peer bullying among middle school students. For this purpose, structural equation modeling (SEM), including peer bullying, school culture, parental rejection, basic psychological needs, and social emotional learning (SEL) skills, was tested. The data were collected from 565 middle school…
Descriptors: Bullying, Predictor Variables, Middle School Students, Social Emotional Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ghanbar, Hessameddin; Rezvani, Reza – International Journal of Language Testing, 2023
Structural equation modeling (SEM), as a flexible and versatile multivariate statistical technique, has been growingly used since its introduction in the 1970s. This article presents a methodological synthesis of the characteristics of the use of SEM in L2 research by examining the reporting practices in light of the current SEM literature to…
Descriptors: Second Language Learning, Second Language Instruction, Structural Equation Models, Language Research
Peer reviewed Peer reviewed
PDF on ERIC Download full text
García, Alfonso Javier; Froment, Facundo A.; Bohórquez, María Rocío – Journal of New Approaches in Educational Research, 2023
University students' motivation can be affected by several factors, one being their perceptions of teacher behaviour in the classroom. This study aimed to predict university students' state motivation from their perceptions of teacher credibility. The participants were 344 students from the University of Seville. A structural equation model was…
Descriptors: College Students, Credibility, Teaching Methods, Student Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Vispoel, Walter P.; Lee, Hyeryung; Xu, Guanlan; Hong, Hyeri – Journal of Experimental Education, 2023
Although generalizability theory (GT) designs have traditionally been analyzed within an ANOVA framework, identical results can be obtained with structural equation models (SEMs) but extended to represent multiple sources of both systematic and measurement error variance, include estimation methods less likely to produce negative variance…
Descriptors: Generalizability Theory, Structural Equation Models, Programming Languages, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
In'nami, Yo; Cheung, Mike W.-L.; Koizumi, Rie; Wallace, Matthew P. – Language Learning, 2023
Second language (L2) listening comprehension is a function of many variables. We focused on metacognitive awareness, which we measured using the Metacognitive Awareness Listening Questionnaire (MALQ; Vandergrift et al., 2006), and meta-analyzed (a) the factor structure of the MALQ and (b) the relationship between metacognitive awareness and L2…
Descriptors: Second Language Learning, Listening Comprehension, Metacognition, Meta Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Trusty, Wilson T.; Richardson, Clarissa M. E. – British Journal of Guidance & Counselling, 2023
Self-critical perfectionism (SCP) is a common personality trait among young adults that is associated with high levels of depression and low emotional disclosure. We tested (1) whether negative beliefs about emotions (NBE) mediated the relationship between SCP and emotional disclosure and (2) whether NBE and emotional disclosure sequentially…
Descriptors: Self Concept, Personality Traits, Psychological Patterns, Disclosure
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sayed Masood Haidari; Ayhan Koçoglu; Sedat Kanadli – Journal on Efficiency and Responsibility in Education and Science, 2023
This meta-analysis examined whether motivation mediated the relationship between self-efficacy, locus of control, and academic achievement. Thirty-seven studies providing correlation estimates for 40 different samples were included in the analysis. The data from these studies were fitted to three models using a two-stage structural equation…
Descriptors: Locus of Control, Self Efficacy, Student Motivation, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Bang Nguyen-Viet; Bac Nguyen-Viet – Cogent Education, 2023
This study aims to investigate the influence of gamification on students' engagement, learning effectiveness, and satisfaction in higher education, as well as the function of engagement and learning effectiveness in moderating the connection. Data were obtained quantitatively from 306 undergraduate and graduate students in Vietnam who participated…
Descriptors: Student Satisfaction, Foreign Countries, Gamification, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Sim, Mikyung; Kim, Su-Young; Suh, Youngsuk – Educational and Psychological Measurement, 2022
Mediation models have been widely used in many disciplines to better understand the underlying processes between independent and dependent variables. Despite their popularity and importance, the appropriate sample sizes for estimating those models are not well known. Although several approaches (such as Monte Carlo methods) exist, applied…
Descriptors: Sample Size, Statistical Analysis, Predictor Variables, Path Analysis
Haiyan Liu; Wen Qu; Zhiyong Zhang; Hao Wu – Grantee Submission, 2022
Bayesian inference for structural equation models (SEMs) is increasingly popular in social and psychological sciences owing to its flexibility to adapt to more complex models and the ability to include prior information if available. However, there are two major hurdles in using the traditional Bayesian SEM in practice: (1) the information nested…
Descriptors: Bayesian Statistics, Structural Equation Models, Statistical Inference, Statistical Distributions
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Narinthon Imjai; Somnuk Aujirapongpan; Jaturon Jutidharabongse; Berto Usman – Contemporary Educational Technology, 2024
Notwithstanding the pervasive utilization of digital technology in social and educational realms, an in-depth understanding and exploration of the interrelationships amongst digital connectivity, social skills, and emotional intelligence, particularly within Generation Z demographic--known for their heavy reliance on digital platforms--remains…
Descriptors: Access to Computers, Foreign Countries, Age Groups, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Brooke Hildebrand Clubbs; Eu Gene Chin – Journal of Mixed Methods Research, 2024
Structural equation modeling and autoethnography have rarely been integrated in scientific studies. The example employs a convergent intensive longitudinal data collection strategy and an explanatory bidirectional framework for data merging analysis to examine one instructor's practices of incorporating social-emotional learning (SEL) and…
Descriptors: College Faculty, COVID-19, Pandemics, Teacher Burnout
Peer reviewed Peer reviewed
Direct linkDirect link
Henry Egbezien Inegbedion – Education and Information Technologies, 2024
Collaboration is critical to the student-centred learning approach and this is a characteristic feature of the online learning system, as collaborative learning happens to be a major attraction of the online education system. This study investigated innovation in education technology and peer learning outcomes with the mediation of learners'…
Descriptors: Foreign Countries, College Students, Educational Technology, Learning Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
Seyed Saman Saboksayr – ProQuest LLC, 2024
Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…
Descriptors: Networks, Topology, Graphs, Information Processing
Pages: 1  |  ...  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12  |  ...  |  471