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Structural equation modeling (SEM) is a vast field and widely used by many applied researchers in the social and behavioral sciences. Over the years, many software packages for structural equation modeling have been deve...

Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Forn...

Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the...

Abstract Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of ...

The following research proposes a first approximation to the Dynamic Hypermedial Device modeling based on the analysis of interactions. In addition, the DEVS (Discrete EVents dynamic Systems) formalism is employed, which...

Resveratrol exhibits wide pharmacological activities, such as, anti-oxidant, anti-inflammatory, analgesic, cardio-protective, neuro-protective, chemo-preventive, chemo-therapeutic, and anti-aging. However, its aqueous so...

UML (Unified Modeling Language) is one of the most used languages to specify and document informatics applications. However, UML is a generalpurpose language, so it often lacks of elements to model and represent concrete...

Comparative protein modeling is increasingly gaining interest since it is of great assistance during the rational design of mutagenesis experiments. The availability of this method, and the resulting models, has however ...

The objective of this research is to develop a tool for the generation of 3D objects modeled with flexible materials, with visco-elastic or inelastic characteristics, similar to the plasticine. It is desirable to priorit...

In this paper we define an evolution mechanism with formal semantics using the metamodeling methodology [Geisler et al.98] based on dynamic logic. A remarkable feature of the metamodeling methodology is the ability to de...

With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-throug...

Structural equation modeling (SEM) has become a quasi-standard in marketing and management research when it comes to analyzing the cause-effect relations between latent constructs. For most researchers, SEM is equivalent...

"Graph databases are becoming increasingly popular for modeling different kinds of networks for data analysis. They are built over the property graph data model, where nodes and edges are annotated with property-value p...

I have been teaching, in reality, preaching, the importance of a clear understanding for the word “analysis”. It is my conclusion, after years of exposure to the term “system analysis”, that it has mislead lots o...