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Structural Equation Modeling [PDF]
, 2017 The term structural equation modeling (SEM) refers to a family of multivariate techniques concerned with the examination of relationships between constructs (conceptual or latent variables) that can generally be measured only imperfectly by observed variables.
Baumgartner, Hans, Weijters, Bert
+16 more sources
Structural equation modeling in epidemiology [PDF]
Cadernos de Saúde Pública, 2010 Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts
Leila Denise Alves Ferreira Amorim +10 more
doaj +6 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
On Structural Equation Model Equivalence
Multivariate Behavioral Research, 1999 A necessary and sufficient condition for equivalence of structural equation models is presented. Compared to existing rules for equivalent model generation (Stelzl, 1986; Lee & Hershberger, 1990; Hershberger, 1994), it is applicable to a more general class including models with parameter restrictions and models that may or may not fulfil assumptions of
Raykov, T, Penev, Spiridon
openaire +4 more sources
The Mathematica Journal, 2020 This chapter introduces background and historical information on how structural equation modeling (SEM) came to be developed. Then, the main differences between SEM and earlier multivariate methods are explained. The chapter describes three main applications of SEM: path analysis, factor analysis, and hybrid models.
Torrey Lyons +4 more
openaire +3 more sources
Dynamic Structural Equation Models
Structural Equation Modeling: A Multidisciplinary Journal, 2017 This article presents dynamic structural equation modeling (DSEM), which can be used to study the evolution of observed and latent variables as well as the structural equation models over time. DSEM is suitable for analyzing intensive longitudinal data where observations from multiple individuals are collected at many points in time.
Asparouhov, T. +2 more
openaire +4 more sources
Advanced Engineering Materials, EarlyView., 2023 A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal +3 more
wiley +1 more source
FEBS Letters, EarlyView.Toll‐like receptors (TLRs) are important in the innate immune system. This study explores the zinc‐binding ability of the TLR2 TIR domain (TLR2TIR). We found that TLR2TIR binds zinc with nanomolar affinity through its cysteine residues. Two of them, C673 and C713, are vital for receptor activation, indicating that zinc may play a role in initiating ...
Vladislav A. Lushpa +8 more
wiley +1 more source
Brucella NyxA and NyxB dimerization enhances effector function during infection
FEBS Letters, EarlyView.Brucella abortus thrives inside cells thanks to the translocation of effector proteins that fine‐tune cellular functions. NyxA and NyxB are two effectors that destabilize the nucleolar localization of their host target, SENP3. We show that the Nyx proteins directly interact with each other and that their dimerization is essential for their function ...
Lison Cancade‐Veyre +4 more
wiley +1 more source