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Handling Uncertainty in Structural Equation Modeling

2016
This paper attempts to propose an overview of a recent method named partial possibilistic regression path modeling (PPRPM), which is a particular structural equation model that combines the principles of path modeling with those of possibilistic regression to model the net of relations among variables.
Romano, Rosaria, PALUMBO, FRANCESCO
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Power equivalence in structural equation modelling

British Journal of Mathematical and Statistical Psychology, 2010
Implementing large‐scale empirical studies can be very expensive. Therefore, it is useful to optimize study designs without losing statistical power. In this paper, we show how study designs can be improved without changing statistical power by defining power equivalence , a relation between ...
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An Introduction to Structural Equation Modeling

2015
In this contribution the principles behind Structural Equation Modeling (SEM) are presented. SEM is used for assessing the quality of models that are proposed on the basis of theory and experience. This contribution has an introductory level.
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Structural equation modeling

2023
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Model Setting and Interpretation of Results in Research Using Structural Equation Modeling: A Checklist with Guiding Questions for Reporting

Asian Nursing Research, 2021
Jung-Won Ahn, Hyuncheol Kang
exaly

Testing Structural Equation Models.