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A new Shiny application integrates the SLiD algorithm for bi-factor Exploratory Structural Equation Modeling (bi-factor ESEM) in Mplus. This tool enhances psychometric analysis by making advanced methods more accessible to researchers.

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Area of Science:

  • Psychometrics
  • Structural Equation Modeling

Background:

  • Bi-factor Exploratory Structural Equation Modeling (bi-factor ESEM) is a flexible and statistically robust psychometric tool.
  • Current limitations exist as advanced methods like the SLiD algorithm are not integrated into standard ESEM software such as Mplus.

Purpose of the Study:

  • To develop a user-friendly Shiny application enabling the integration of the SLiD algorithm within Mplus for bi-factor ESEM.
  • To provide a framework for applied researchers to conduct SLiD-based bi-factor ESEM.

Main Methods:

  • A novel Shiny application was developed to bridge the gap between the SLiD algorithm and Mplus.
  • A two-stage framework was established for SLiD-based bi-factor ESEM estimation.
  • The application was demonstrated using data from the Generic Conspiracist Beliefs Scale (N = 2495).

Main Results:

  • The SLiD algorithm, when applied via the new application, yielded unique insights into factor structure and ESEM parameters.
  • The analysis confirmed the utility of bi-factor modeling and explored relationships between general/group factors and personality traits.

Conclusions:

  • The study validates the effectiveness and utility of SLiD-based bi-factor ESEM.
  • The developed Shiny application significantly simplifies the implementation of these advanced psychometric methods for applied researchers.