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To cite semTests in publications use the method papers below; cite the package itself for the software.

Foldnes N, Moss J, Grønneberg S (2024). “Improved goodness of fit procedures for structural equation models.” Structural Equation Modeling: A Multidisciplinary Journal, 1–13. doi:10.1080/10705511.2024.2372028.

Foldnes N, Grønneberg S, Moss J (2026). “Penalized eigenvalue block averaging: Extension to nested model comparison and Monte Carlo evaluations.” Behavior Research Methods. doi:10.3758/s13428-026-02968-4.

Moss J, Foldnes N, Grønneberg S (2026). semTests: Robust Test Statistics for Structural Equation Models. R package version 0.9.0, https://github.com/JonasMoss/semTests.

Corresponding BibTeX entries:

  @Article{,
    title = {Improved goodness of fit procedures for structural
      equation models},
    author = {Njål Foldnes and Jonas Moss and Steffen Grønneberg},
    journal = {Structural Equation Modeling: A Multidisciplinary
      Journal},
    year = {2024},
    pages = {1--13},
    doi = {10.1080/10705511.2024.2372028},
  }
  @Article{,
    title = {Penalized eigenvalue block averaging: Extension to nested
      model comparison and Monte Carlo evaluations},
    author = {Njål Foldnes and Steffen Grønneberg and Jonas Moss},
    journal = {Behavior Research Methods},
    year = {2026},
    doi = {10.3758/s13428-026-02968-4},
  }
  @Manual{,
    title = {semTests: Robust Test Statistics for Structural Equation
      Models},
    author = {Jonas Moss and Njål Foldnes and Steffen Grønneberg},
    year = {2026},
    note = {R package version 0.9.0},
    url = {https://github.com/JonasMoss/semTests},
  }

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They may not be fully stable and should be used with caution. We make no claims about them.
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