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Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2025
This study aims to estimate the latent interaction effect in the CLPM model through a two-step multiple imputation analysis. The estimation of within x within and between x within latent interaction under the CLPM model framework is compared between the one-step Bayesian LMS method and the two-step multiple imputation analysis through a simulation…
Descriptors: Guidelines, Bayesian Statistics, Self Esteem, Depression (Psychology)
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James Ohisei Uanhoro – Educational and Psychological Measurement, 2024
Accounting for model misspecification in Bayesian structural equation models is an active area of research. We present a uniquely Bayesian approach to misspecification that models the degree of misspecification as a parameter--a parameter akin to the correlation root mean squared residual. The misspecification parameter can be interpreted on its…
Descriptors: Bayesian Statistics, Structural Equation Models, Simulation, Statistical Inference
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Daniel McNeish – Grantee Submission, 2023
Scale validation is vital to psychological research because it ensures that scores from measurement scales represent the intended construct. Factor analysis fit indices are commonly used to provide quantitative evidence that a proposed factor structure is plausible. However, there is mismatch between guidelines for evaluating fit of factor models…
Descriptors: Factor Analysis, Goodness of Fit, Validity, Likert Scales
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Jagodics, Balázs; Nagy, Katalin; Szénási, Szilvia; Varga, Ramóna; Szabó, Éva – School Mental Health, 2023
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.…
Descriptors: High School Students, Burnout, Correlation, Prediction
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Cheung, Mike W.-L.; Cheung, Shu Fai – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM.…
Descriptors: Statistical Analysis, Models, Meta Analysis, Structural Equation Models
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Rahman, Muhammad Sabbir; Mannan, Mahafuz; Rahman, Mohammad Mahboob – Health Education, 2018
Purpose: From the perspective of developing countries, studies regarding the behavioral effects of quitting tobacco consumption on emerging psychological determinants are limited. The purpose of this paper is to examine the influence of emotional intelligence (EI), social norms, susceptibility and self-efficacy on the behavioral effects of…
Descriptors: Smoking, Health Behavior, Social Behavior, Intention
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Kulikowski, Konrad; Orzechowski, Jaroslaw – Applied Cognitive Psychology, 2019
This study aimed to investigate the relationships between working memory capacity, fluid intelligence (Gf), and work engagement within the framework of the job demands-resources theory. Multioccupational employees (N = 175 in Study 1 and N = 383 in Study 2) completed sets of Gf, complex span, and n-back tests, along with job resources and work…
Descriptors: Intelligence, Short Term Memory, Employees, Work Attitudes
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Zwick, Hélène Syed – Journal of International Students, 2021
This study uses the capability-opportunity-motivation behavior framework as a theoretical basis and partial least squares structural equation modeling as an empirical research method to identify factors that influence the interest in studying abroad. We rely on primary microdata collected through a self-administered questionnaire among Egyptian…
Descriptors: Foreign Countries, Student Interests, Study Abroad, Guidelines
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Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2019
Network meta-analysis (NMA) uses both direct and indirect evidence to compare the efficacy and harm between several treatments. Structural equation modeling (SEM) is a statistical method that investigates relations among observed and latent variables. Previous studies have shown that the contrast-based Lu-Ades model for NMA can be implemented in…
Descriptors: Meta Analysis, Structural Equation Models, Evidence, Comparative Analysis
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Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
Rovis, Sadegh Shattaly Nazhed; Sayadi, Saeed; Pourkiani, Masoud; Abbasi, Farzaneh Beikzadeh – Journal of Educational Psychology - Propositos y Representaciones, 2020
Today, it is necessary to learn to manage and administer organizations based on values, which is also influenced by the culture and atmosphere of the organization. No comprehensive research has been done on organizational culture and personnel values. Therefore, the purpose of this study is to provide a theoretical framework based on the…
Descriptors: Case Studies, Organizational Culture, Guidelines, Employee Attitudes
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Ho, Maxwell Chun Sing; Lee, Daphnee Hui Lin – Asia-Pacific Education Researcher, 2020
A standardised financial literacy curriculum ensures that all students in a school system receive financial knowledge, which offers them the necessary support to make informed decisions about money management and practise appropriate financial behaviour. In Hong Kong, all secondary schools supposed to teach financial literacy via a standardised…
Descriptors: Money Management, Curriculum Development, Teaching Methods, Standards
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Pang, Bo; Rundle-Thiele, Sharyn Robyn; Kubacki, Krzysztof – Health Education, 2017
Purpose: Evidence indicates that active school travel (AST) including walking can effectively lower levels of obesity among school-age children. Yet Queensland has been identified as one of the most inactive states in Australia where only 5 per cent of Years 1 and 5 children engaged in AST on a daily basis. The purpose of this paper is to explain…
Descriptors: Transportation, Physical Activities, Obesity, Health Behavior
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Rahi, Samar; Abd. Ghani, Mazuri – International Journal of Information and Learning Technology, 2019
Purpose: Understanding the main determinants of internet banking is important for banks and users. Although several prior research projects have focused on the factors that impact on adoption of technology, there is a limited empirical work which simultaneously captures technology-specific factors (PE, EE, WD, GAM) and customer-specific factors…
Descriptors: Banking, Internet, Computer Games, Behavior Patterns
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Badri, Masood; Alnuaimi, Ali; Mohaidat, Jihad; Al Rashedi, Asma; Yang, Guang; Al Mazroui, Karima – International Journal of STEM Education, 2016
Background: This study is about Abu Dhabi high school students' interest in science in different contexts. The survey was conducted in connection with the international project, the Relevance of Science Education (ROSE). The sample consists of 5650 students in public and private schools. A structural equation model (SEM) is developed to capture…
Descriptors: Science Instruction, Career Choice, Science Interests, Student Interests
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