Structural equation modeling (SEM) plays an important role in business and social science and so do composites, that is, linear combinations of variables. However, existing approaches to integrate composites into structural equation models still have limitations. A major leap forward has been the Henseler–Ogasawara (H–O) specification, which for the first time allows for seamlessly integrating composites into structural equation models. In doing so, it relies on emergent variables, that is, the composite of interest, and one or more orthogonal excrescent variables, that is, composites that have no surplus meaning but just span the remaining space of the emergent variable's components. Although the H–O specification enables researchers to fl...
Structural Equations Modeling (SEM) has enjoyed increased popularity as an analytical method among I...
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complet...
Studying and modeling theoretical concepts is a cornerstone activity in information systems (IS) res...
Structural equation modeling (SEM) is a versatile statistical method that should theoretically be ab...
Rose N, Wagner W, Mayer A, Nagengast B. Model-Based Manifest and Latent Composite Scores in Structur...
Résumé. Compatibilité des modèles à &eacu...
A common practice in applications of structural equation modeling techniques is to create composite ...
Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of ...
There has been a long and ongoing debate, at points resembling an acrimonious dispute, among propone...
Examining the efficacy of composite-based structural equation modeling (SEM) features prominently in...
Structural equation modeling (SEM) is a tool for analyzing multivariate data that has been long know...
Using an object or entity class to represent a composite provides straightforward answers, making th...
Structural Equation Modeling (SEM) is widely used in behavioural, social and eco-nomic studies to an...
This article introduces confirmatory composite analysis (CCA) as a structural equation modeling tech...
Structural Equation Modelling (SEM) represents a quantitative methodology for specifying and evaluat...
Structural Equations Modeling (SEM) has enjoyed increased popularity as an analytical method among I...
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complet...
Studying and modeling theoretical concepts is a cornerstone activity in information systems (IS) res...
Structural equation modeling (SEM) is a versatile statistical method that should theoretically be ab...
Rose N, Wagner W, Mayer A, Nagengast B. Model-Based Manifest and Latent Composite Scores in Structur...
Résumé. Compatibilité des modèles à &eacu...
A common practice in applications of structural equation modeling techniques is to create composite ...
Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of ...
There has been a long and ongoing debate, at points resembling an acrimonious dispute, among propone...
Examining the efficacy of composite-based structural equation modeling (SEM) features prominently in...
Structural equation modeling (SEM) is a tool for analyzing multivariate data that has been long know...
Using an object or entity class to represent a composite provides straightforward answers, making th...
Structural Equation Modeling (SEM) is widely used in behavioural, social and eco-nomic studies to an...
This article introduces confirmatory composite analysis (CCA) as a structural equation modeling tech...
Structural Equation Modelling (SEM) represents a quantitative methodology for specifying and evaluat...
Structural Equations Modeling (SEM) has enjoyed increased popularity as an analytical method among I...
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complet...
Studying and modeling theoretical concepts is a cornerstone activity in information systems (IS) res...