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Calculating level-specific SEM fit indices for multilevel mediation analyses.

W Scott Comulada1

  • 1Department of Psychiatry and Biobehavioral Sciences, Department of Health Policy and Management, University of California, Los Angeles, Los Angeles, CA.

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|May 3, 2021
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Summary
This summary is machine-generated.

This study introduces gsemgof, a new Stata command for calculating level-specific fit indices in multilevel structural equation models. This enhances model evaluation for complex nested data, improving accuracy in multilevel mediation analyses.

Keywords:
fit indexgsemgsemgofmediation analysismultilevelsemst00!!structural equation model

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Area of Science:

  • Statistics
  • Econometrics
  • Psychometrics

Background:

  • Multilevel structural equation models (sem) are essential for analyzing nested data.
  • Stata's gsem command facilitates fitting these models.
  • Standard sem fit indices are insufficient for multilevel structures.

Purpose of the Study:

  • To address the lack of level-specific fit indices in Stata's gsem command.
  • To introduce the gsemgof command for calculating these indices.
  • To improve the goodness-of-fit assessment for multilevel models.

Main Methods:

  • Developed the gsemgof command for Stata.
  • Utilized results from the gsem command.
  • Calculated level-specific comparative fit index (CFI) and root mean squared error of approximation (RMSEA).

Main Results:

  • The gsemgof command successfully calculates level-specific fit indices.
  • Demonstrated the utility of gsemgof with multilevel mediation analyses.
  • Provided a method to evaluate multilevel sem fit more accurately.

Conclusions:

  • The gsemgof command enhances the evaluation of multilevel sem.
  • Level-specific fit indices are crucial for accurate model assessment in nested data.
  • This tool aids researchers in complex multilevel modeling.