Results 41 to 50 of about 11,099,772 (293)
Fitting Nonlinear Structural Equation Models in R with Package nlsem
Structural equation mixture modeling (SEMM) has become a standard procedure in latent variable modeling over the last two decades (Jedidi, Jagpal, and DeSarbo 1997b; Muthén and Shedden 1999; Muthén 2001, 2004; Muthén and Asparouhov 2009).
Nora Umbach +3 more
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A Simulation Study of Polychoric Instrumental Variable Estimation in Structural Equation Models
Copyright © Taylor & Francis Group, LLC. Data collected from questionnaires are often in ordinal scale. Unweighted least squares (ULS), diagonally weighted least squares (DWLS) and normal-theory maximum likelihood (ML) are commonly used methods to fit
Jin, Shaobo +5 more
core +1 more source
Model-Based Manifest and Latent Composite Scores in Structural Equation Models
Composite scores are commonly used in the social sciences as dependent and independent variables in statistical models. Typically, composite scores are computed prior to statistical analyses.
Norman Rose +3 more
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Fit statistics for the structural equation models.
Fit statistics for the structural equation models.
Zsolt Demetrovics (165595) +4 more
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Potential Therapeutic Targets in People with Emotional Dependency
Objective: To examine the relationship between the components of emotional dependency (ED) with anxious, depressive, and impulsive symptomatology. Method: 98 university students (68% women, age M = 20.2 years, ED = 2.19) responded to the ED Questionnaire
Mariantonia Lemos +2 more
doaj +3 more sources
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Distributed-lag Linear Structural Equation Models in R: the dlsem Package
In this paper, an extension of linear Markovian structural causal models is introduced, called distributed-lag linear structural equation models (DLSEMs), where each factor of the joint probability distribution is a distributed-lag linear regression with
Alessandro Magrini
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Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Dynamic structural equation modeling (DSEM) is a novel, intensive longitudinal data (ILD) analysis framework. DSEM models intraindividual changes over time on Level 1 and allows the parameters of these processes to vary across individuals on Level 2 ...
Schultzberg, Mårten, +3 more
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A General Nonlinear Multilevel Structural Equation Mixture Model
In the past 2 decades latent variable modeling has become a standard tool in the social sciences. In the same time period, traditional linear structural equation models have been extended to include nonlinear interaction and quadratic effects (e.g ...
Augustin eKelava, Holger eBrandt
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