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Direct linkJak, 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
Ahrari, Seyedali; Roslan, Samsilah; Zaremohzzabieh, Zeinab; Mohd Rasdi, Roziah; Abu Samah, Asnarulkhadi – Cogent Education, 2021
This research aims to analyze studies that have investigated the effects of teacher empowerment on job satisfaction. From the results obtained from the meta-analytic structural equation modeling of 11 studies (N = 19,462), it has been found that the teacher empowerment model and job satisfaction are meaningfully correlated. The findings have also…
Descriptors: Teacher Empowerment, Job Satisfaction, Meta Analysis, Path Analysis
Vasconcellos, Diego; Parker, Philip D.; Hilland, Toni; Cinelli, Renata; Owen, Katherine B.; Kapsal, Nathanial; Lee, Jane; Antczak, Devan; Ntoumanis, Nikos; Ryan, Richard M.; Lonsdale, Chris – Journal of Educational Psychology, 2020
In this review we examine the evidence regarding self-determination theory within the school physical education context. We applied a multilevel structural equation modeling approach to meta-analyze data from a systematic review that identified 265 relevant studies. In line with theory, autonomous motivation was positively correlated with adaptive…
Descriptors: Self Determination, Physical Education, Personal Autonomy, Correlation
Price, Larry R.; Laird, Angela R.; Fox, Peter T.; Ingham, Roger J. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
The aims of this study were to present a method for developing a path analytic network model using data acquired from positron emission tomography. Regions of interest within the human brain were identified through quantitative activation likelihood estimation meta-analysis. Using this information, a "true" or population path model was then…
Descriptors: Sample Size, Monte Carlo Methods, Structural Equation Models, Markov Processes
