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These studies suggest Structural Equation Modeling (SEM) is a flexible and powerful statistical technique used to test and validate theoretical models by combining methods like regression, correlation, and factor analyses, though it requires careful interpretation to avoid misuse.
18 papers analyzed
Structural Equation Modeling (SEM) is a sophisticated statistical technique used to evaluate and test theoretical models involving complex relationships among variables. It is widely applied across various fields, including medical research, social sciences, ecology, and more, due to its ability to handle multivariate data and assess causal relationships.
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Structural Equation Modeling (SEM) is a powerful and flexible statistical tool used to evaluate and test theoretical models involving complex relationships among variables. It combines multiple statistical techniques to provide a comprehensive analysis of data, making it valuable across various research fields. Despite its strengths, careful application and interpretation are crucial to avoid potential pitfalls.
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