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Ashley Hannah Majzun – ProQuest LLC, 2023
Meta-analytic Structural Equation Modeling (MASEM) is the combination of meta-analysis (MA) and structural equation modeling (SEM). With new MASEM methodologies developed over the past few years, there is an opportunity to compare the past approaches with the new ones. The purpose of this dissertation is two-fold. First, the parameter estimates,…
Descriptors: Meta Analysis, Structural Equation Models, College Students, Academic Persistence
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Fatih Orcan – International Journal of Assessment Tools in Education, 2023
Among all, Cronbach's Alpha and McDonald's Omega are commonly used for reliability estimations. The alpha uses inter-item correlations while omega is based on a factor analysis result. This study uses simulated ordinal data sets to test whether the alpha and omega produce different estimates. Their performances were compared according to the…
Descriptors: Statistical Analysis, Monte Carlo Methods, Correlation, Factor Analysis
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Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
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Kang Wang; Yu-Yuan Qu; Siew-Ping Wong – Education and Information Technologies, 2025
This research delves into the factors that shape Chinese college students' engagement with Generative AI (GenAI) for career exploration purposes, employing the lenses of the Comprehensive Model of Information Seeking (CMIS) and the Technology Acceptance Model (TAM). Utilizing a mixed-methods design, which integrates partial least squares…
Descriptors: College Students, Artificial Intelligence, Technology Uses in Education, Career Development
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Carl L. Hanson; Brianna M. Magnusson; Alice Ann Crandall; Michael D. Barnes; Emily McFarland; McKaylee Smith – Journal of American College Health, 2024
Objective: Previous research suggests that both adverse childhood experiences (ACEs), positive childhood experiences (PCEs), and current life experiences are associated with emotional wellbeing and mental health. The purpose of this study was to explore the influence of these life experience and coping processes on college student emotional and…
Descriptors: College Students, Mental Health, Outcomes of Education, Coping
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Butakor, Paul K.; Guo, Qi; Adebanji, Atinuke O. – Psychology in the Schools, 2021
The purpose of the study was to examine the causal relationship between teachers' emotional intelligence, job satisfaction, professional identity, and work engagement. And to achieve this purpose, a questionnaire consisting of four scales was administered to 260 teachers selected from the Adentan Municipal in the Greater Accra Region. Exploratory…
Descriptors: Structural Equation Models, Foreign Countries, Emotional Intelligence, Job Satisfaction
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Cao, Chunhua; Kim, Eun Sook; Chen, Yi-Hsin; Ferron, John – Educational and Psychological Measurement, 2021
This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates…
Descriptors: Goodness of Fit, Hierarchical Linear Modeling, Computation, Models
Yamashita, Takashi; Smith, Thomas J.; Cummins, Phyllis A. – Journal of Educational and Behavioral Statistics, 2021
In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Maples. Concise overview and key unique aspects of large-scale assessment data…
Descriptors: Learning Analytics, Computer Software, Syntax, Adults
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Orcan, Fatih – International Journal of Assessment Tools in Education, 2021
Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the paid software or open source but free program such as R is need to be used. For that,…
Descriptors: Monte Carlo Methods, Structural Equation Models, Accuracy, Computer Software
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Kumar, J. Dinesh; Arulchelvan, Sriram – International Journal of Information and Communication Technology Education, 2021
ICT use in family functioning is an important area to study as the impact changes when technology grows over years. This research analyzed the role of ICT use in process & structure of families using the factors present in Hertlein multitheoretical model. The additional factor 'family communication pattern' was introduced and tested along with…
Descriptors: Information Technology, Family Environment, Foreign Countries, Family Structure
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Putwain, David W.; Wood, Peter; Pekrun, Reinhard – Journal of Educational Psychology, 2022
Control-value theory proposes that achievement emotions impact achievement, and that achievement outcomes (i.e., success and failure) reciprocally influence the development of achievement emotions. Academic buoyancy is an adaptive response to minor academic adversity, and might, therefore, offer protection from achievement being undermined by…
Descriptors: Academic Achievement, Psychological Patterns, Emotional Response, Mathematics Tests
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Mahandi, Ridwan Daud; Akram; Rahman, Edi Suhardi – Turkish Online Journal of Distance Education, 2022
This study aims to test the structural models of several integrated motivational constructs empirically. The motivational construct refers to three theoretical models: Attention-Relevance-Confidence-Satisfaction (ARCS), McClelland's needs, and Self-Determination Theory (SDT). Data were collected from lecturers and students as respondents at two…
Descriptors: Foreign Countries, Structural Equation Models, Self Determination, Instructional Design
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Osman, Esam; Hardaker, Glenn; Glenn, Liyana Eliza – International Journal of Information and Learning Technology, 2022
Purpose: Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach: Structured equation modelling (SEM) research identifies concerns about the…
Descriptors: Structural Equation Models, Management Information Systems, Misconceptions, Scientific Methodology
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Abdul Raof, Shuhada; Musta'amal, Aede Hatib – European Journal of Educational Research, 2022
Competent instructors need to have the skills, abilities, and competencies to perform tasks effectively, which will affect student learning achievement. This study is guided by the theory of Boyatzis developed by Spencer and Spencer. The Iceberg Competency Model was used as a guideline to identify the competency elements of educators from the…
Descriptors: Agricultural Education, Vocational Education, Agriculture Teachers, Teacher Competencies
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Arthur, Yarhands Dissou – Problems of Education in the 21st Century, 2022
The research sought to assess mathematics teachers' acceptance of Information and Communication Technology (ICT) integration into teaching and learning at the secondary schools. This study was a cross-sectional survey that gathered data with structured questionnaire. The population was mathematics (core and elective) teachers of secondary schools…
Descriptors: Mathematics Teachers, Technology Integration, Secondary School Teachers, Foreign Countries
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