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Structural equation modeling (SEM) is a versatile tool for conducting a wide range of multivariate statistical analyses, including multiple regression, mediation analysis, moderation analysis, and analyses of variance and covariance. Two specialized uses of SEM that appear frequently in communication research are confirmatory factor analysis (CFA) and ...
Baumgartner, Hans, Weijters, Bert
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This study aimed to examine the association between place identity, sense of community, and environmental attitude. Within the theoretical framework, a connection has been identified among the variables of place identity, sense of community, and ...
Elif Kutay Karaçor, Ezgi Akçam
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Functional Structural Equation Model
AbstractIn this article, we introduce a functional structural equation model for estimating directional relations from multivariate functional data. We decouple the estimation into two major steps: directional order determination and selection through sparse functional regression. We first propose a score function at the linear operator level, and show
Kuang-Yao, Lee, Lexin, Li
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Regularized Structural Equation Modeling [PDF]
A new method is proposed that extends the use of regularization in both lasso and ridge regression to structural equation models. The method is termed regularized structural equation modeling (RegSEM). RegSEM penalizes specific parameters in structural equation models, with the goal of creating easier to understand and simpler models.
Ross, Jacobucci +2 more
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Structural Equation Modeling of In silico Perturbations
Gene expression is controlled by multiple regulators and their interactions. Data from genome-wide gene expression assays can be used to estimate molecular activities of regulators within a model organism and extrapolate them to biological processes in ...
Jianying Li +12 more
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Structural Equations Modeling [PDF]
Peer Reviewed ; https://deepblue.lib.umich.edu/bitstream/2027.42/144267/1/jcpy83 ...
Netemeyer, Richard +9 more
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Modeling Model Misspecification in Structural Equation Models
Structural equation models constrain mean vectors and covariance matrices and are frequently applied in the social sciences. Frequently, the structural equation model is misspecified to some extent.
Alexander Robitzsch
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EMPOWERMENT AND TRANSFORMATIONAL LEADERSHIP BEHAVIORS AND EMPLOYEE WELL-BEING: THE MEDIATING ROLE OF ORGANIZATIONAL SUPPORT [PDF]
This study examines the comparative influence of empowerment leadership and transformational leadership behaviours on employees' psychological well-being (PWB) while considering the mediating effect of perceived organisational support.
Sara T. Msuya
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Efficient Bayesian Structural Equation Modeling in Stan
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof.
Edgar C. Merkle +3 more
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CONVENIENCE SAMPLING: A REVIEW AND GUIDELINES FOR QUANTITATIVE RESEARCH [PDF]
Convenience sampling is widely used in business and management research, yet its application in quantitative studies is often criticized for lacking rigor and transparency.
Mumtaz Ali Memon +3 more
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