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Schmank, Christopher J.; Goring, Sara Anne; Kovacs, Kristof; Conway, Andrew R. A. – Journal of Intelligence, 2021
In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clarify the goal of our previous research on network…
Descriptors: Intelligence, Psychometrics, Cognitive Structures, Structural Equation Models
Hoi, Vo Ngoc; Le Hang, Ho – Journal of Computer Assisted Learning, 2021
Enhancing student engagement plays a critical role in reducing student drop-out rate in online learning as students usually feel isolated and disconnected in this learning environment. This requires a clear conceptualization of the student engagement construct and its underlying structure. However, the conceptual understanding of the student…
Descriptors: Learner Engagement, Electronic Learning, Structural Equation Models, Factor Analysis
Jak, Suzanne; Li, Hongli; Kolbe, Laura; Jonge, Hannelies; Cheung, Mike W.-L. – Research Synthesis Methods, 2021
Meta-analytic structural equation modeling (MASEM) refers to fitting structural equation models (SEMs) (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. Therefore, we developed webMASEM; a web application for…
Descriptors: Meta Analysis, Structural Equation Models, Tutorial Programs, Computer Oriented Programs
Rajesh Kumar Sharma; Sukhpreet Kaur – International Journal of Educational Management, 2024
Purpose: The purpose of this paper is to analyse the mediating role of organisational citizenship behaviour between transformational leadership and successful implementation of education 4.0 in higher educational institutes using the PLS-SEM approach. Design/methodology/approach: The study uses cross-sectional and quantitative approach to decode…
Descriptors: Transformational Leadership, Organizational Climate, Citizenship, Higher Education
Christophe Dierendonck – International Education Studies, 2024
This study is aimed at validating the French version of the Effort-Reward Imbalance Questionnaire for Teachers. The instrument was pretested before being administered in a large-scale study with elementary school teachers. Dimensionality of the instrument was examined using the bifactor exploratory structural equation modeling (ESEM) framework.…
Descriptors: Teacher Surveys, Questionnaires, Teacher Persistence, Rewards
Esneider Gutierrez-Rivera; Manuela Escobar-Sierra; Jorge-Andrés Polanco; Francesc Miralles – International Journal of Educational Management, 2024
Purpose: This study aims to address the challenge of sustainability in Catholic schools quantitatively, even more so knowing that there are few systematized and quantitatively elaborated approaches that help to determine their sustainability dimensions. Therefore, this study aims to estimate the structural relationships of organizational…
Descriptors: Sustainability, Catholic Schools, Foreign Countries, Cross Cultural Studies
Xintong Zhang; Jiangwei Hu; Yunqian Zhou – Education and Information Technologies, 2025
This study explores the role of perceived utility, social influence, and ethical concerns in the adoption of AI-based data analysis tools among academic researchers in China, focusing on differences between public and private universities. The research aims to identify key drivers and barriers influencing the integration of AI technology in…
Descriptors: Usability, Ethics, Artificial Intelligence, Technology Uses in Education
Aykut Durak; Vahide Bulut – Technology, Knowledge and Learning, 2025
The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…
Descriptors: Prediction, Low Achievement, High Achievement, Academic Achievement
Zhu Chun; Yimin Ning; Jihe Chen; Tommy Tanu Wijaya – Education and Information Technologies, 2025
With the rapid advancement of artificial intelligence technology, the artificial intelligence literacy, creativity, self-efficacy, and academic achievement of college students have increasingly garnered attention from the global educational community. This study, based on cognitive behavioral theory, employs Partial Least Squares Structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Digital Literacy
Pyun, Do Young; Wang, Chee Keng John; Koh, Koon Teck – Journal of Adventure Education and Outdoor Learning, 2020
The purposes of this study were to propose a model of cognitive learning outcomes in outdoor education and examine their relationships with two antecedents (quality of support resource and involvement) and one consequence (satisfaction). A total of 343 physical education student teachers in Singapore completed a questionnaire upon completion of a…
Descriptors: Models, Factor Analysis, Cognitive Development, Structural Equation Models
Aytürk, Ezgi; Cham, Heining; Jennings, Patricia A.; Brown, Joshua L. – Educational and Psychological Measurement, 2020
Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated…
Descriptors: Evaluation Methods, Grade 3, Grade 4, Grade 5
Jin, Ying – International Journal of Behavioral Development, 2020
This research examines the performance of the previously proposed cutoff values of alternative fit indices (i.e., change in comparative fit index [(delta)CFI], change in Tucker-Lewis index [(delta)TLI], and change in root mean squared error of approximation [(delta)RMSEA]) to evaluate measurement invariance for exploratory structural equation…
Descriptors: Structural Equation Models, Goodness of Fit, Measurement, Factor Analysis
Sen, Emine Ozgur – Pedagogical Research, 2022
This study aims to investigate the effects of middle school students' learning approaches and their attitudes towards mathematics on their engagement in mathematics course. The research cross-sectional survey design was used in the quantitative research model. The research was conducted with the participation of 5th-8th graders who attended…
Descriptors: Middle School Students, Learner Engagement, Learning Strategies, Structural Equation Models
McNaughtan, Jon; Eicke, Dustin; Thacker, Russel; Freeman, Sydney – Journal of Higher Education, 2022
Faculty job satisfaction is critical to the success of students and institutions of higher education. Satisfaction of faculty has often been tied to the autonomy of faculty to complete their work with many faculty viewing themselves as independent contractors whose roles and identities are separate from the institution's, but the implications of…
Descriptors: Trust (Psychology), Self Determination, Tenure, College Faculty
Wang, Rui-Ni; Chang, Yuan-Cheng – International Journal of Educational Methodology, 2022
This research's aim was to explore the role of cognitive flexibility in mediating the effect of intrinsic motivation on the creativity of junior high school students. A creativity scale, an intrinsic motivation inventory and a cognitive flexibility inventory were utilized to investigate a sample of junior high school students in Shaanxi Province…
Descriptors: Student Motivation, Junior High School Students, Creativity, Cognitive Processes

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