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, 2017 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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Score-Guided Structural Equation Model Trees
Frontiers in Psychology, 2021 Structural equation model (SEM) trees are data-driven tools for finding variables that predict group differences in SEM parameters. SEM trees build upon the decision tree paradigm by growing tree structures that divide a data set recursively into ...
Manuel Arnold +4 more
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Modeling Model Misspecification in Structural Equation Models
Stats, 2023 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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A Structural Equation Model of Factors Influencing Satisfaction of University Students in Myanmar
International Journal of Educational Management and Development Studies, 2023 Satisfaction among university students derives from a variety of factors. It is indicated by the literature that personal, instructional, university, social, and outcome-related factors collectively contribute to the satisfaction of university students ...
Wai Wai Than +2 more
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Hierarchical Structural Analysis Method for Complex Equation-Oriented Models
Mathematics, 2021 Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural analysis methods need flattening of the hierarchical models into an equation system for analysis.
Chao Wang +6 more
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Determinant of SMEs Income using Structural Equation Model (SEM)
Almana: Jurnal Manajemen dan Bisnis, 2023 Small and Medium Enterprises (SMEs) are business activities that can be carried out by everyone, as long as that person can manage and develop the business.
Anita Handayani +4 more
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Functional Structural Equation Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022 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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Model-Robust Estimation of Multiple-Group Structural Equation Models
Algorithms, 2023 Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models.
Alexander Robitzsch
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A 'Weight of Evidence' approach to evaluating structural equation models [PDF]
One Ecosystem, 2020 It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM).
James Grace
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Regularized Structural Equation Modeling [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2016 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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