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Classifying Matter by Composition03:35

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Experimental Implementation of a New Composite Fabrication Method: Exposing Bare Fibers on the Composite Surface by the Soft Layer Method
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Confirmatory Composite Analysis.

Florian Schuberth1, Jörg Henseler1,2, Theo K Dijkstra3

  • 1Faculty of Engineering Technology, Chair of Product-Market Relations, University of Twente, Enschede, Netherlands.

Frontiers in Psychology
|January 9, 2019
PubMed
Summary
This summary is machine-generated.

Confirmatory composite analysis (CCA) is a new structural equation modeling technique for testing composite models. CCA effectively assesses design concepts and detects model misspecification, enhancing research validity.

Keywords:
Monte Carlo simulation studyartifactscomposite modelingdesign researchstructural equation modelingtheory testing

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Area of Science:

  • Structural Equation Modeling
  • Psychometrics
  • Statistical Methods

Background:

  • Composite models are increasingly used in research.
  • Existing methods may not adequately assess these complex structures.
  • Operationalizing and assessing design concepts (artifacts) requires robust techniques.

Purpose of the Study:

  • Introduce Confirmatory Composite Analysis (CCA) as a novel structural equation modeling technique.
  • Provide a framework for testing composite models and assessing design concepts.
  • Evaluate the efficacy of CCA in detecting model misspecification.

Main Methods:

  • CCA follows standard Confirmatory Factor Analysis steps: model specification, identification, estimation, and assessment.
  • Models are specified as interrelated composites, linear combinations of observable variables.
  • Kettenring's extensions of canonical correlation analysis are used for estimation.
  • The Bollen-Stine bootstrap assesses model fit by comparing empirical and estimated covariance matrices.

Main Results:

  • CCA is a viable technique for testing composite models.
  • The Bollen-Stine bootstrap is effective for model assessment in CCA.
  • Monte Carlo simulations confirm CCA's ability to detect model misspecification.

Conclusions:

  • Confirmatory Composite Analysis (CCA) offers a robust approach to testing complex composite models.
  • CCA facilitates the rigorous assessment of design concepts and artifacts.
  • This technique enhances the validity and reliability of structural equation modeling.