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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic

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Satorra, Albert, Bentler, Peter M.·2010·Psychometrika

Abstract

A scaled difference test statistic \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\tilde{T}{}_{d}$\end{document} that can be computed from standard software of structural equation models (SEM) by hand calculations was proposed in Satorra and Bentler (Psychometrika 66:507–514, 2001). The statistic \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\tilde{T}_{d}$\end{document} is asymptotically equivalent to the scaled difference test statistic \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\bar{T}_{d}$\end{document} introduced in Satorra (Innovations in Multivariate Statistical Analysis: A Festschrift for Heinz Neudecker, pp. 233–247, 2000), which requires more involved computations beyond standard output of SEM software. The test statistic \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\tilde{T}_{d}$\end{document} has been widely used in practice, but in some applications it is negative due to negativity of its associated scaling correction. Using the implicit function theorem, this note develops an improved scaling correction leading to a new scaled difference statistic \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\bar{T}_{d}$\end{document} that avoids negative chi-square values.

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Research works printed but not linked: 10

  1. 10.1007/s001800200094 · doi:10.1007/s001800200094
  2. 10.1007/978-1-4615-4603-0_17 · DOI · Paper page
  3. 10.1111/j.2044-8317.1984.tb00789.x · DOI · Paper page
  4. Satorra, 1994, Latent variables analysis: applications for developmental research, 399
  5. Satorra, A. , & Bentler, P.M. (2008). Ensuring positiveness of the scaled difference chi-square test statistic. Department of Statistics, UCLA Department of Statistics Preprint. http://repositories.cdlib.org/uclastat/papers/2008010905.
  6. Bollen, 2006, Latent curve models: a structural equation perspective
  7. Bentler, 2008, EQS 6 structural equations program manual
  8. 10.1080/10705510902751382 · DOI
  9. 10.1007/BF02294453 · DOI · Paper page
  10. Yuan, 2007, Handbook of statistics 26: Psychometrics, 297

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Metadata

Authors
Satorra, A., & Bentler, P. M.
Venue
Psychometrika
Published
2010-06
Volume
75
Issue
2
Pages
243-248
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2047317044
Cited by
2,695
References
2
FWCI
60.44
Type
journal article
Language
en
Open access
green

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Satorra, A., & Bentler, P. M. (2010). Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic. Psychometrika. https://doi.org/10.1007/s11336-009-9135-y

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