Literature DB >> 20640194

Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic.

Albert Satorra1, Peter M Bentler.   

Abstract

A scaled difference test statistic [Formula: see text] that can be computed from standard software of structural equation models (SEM) by hand calculations was proposed in Satorra and Bentler (2001). The statistic [Formula: see text] is asymptotically equivalent to the scaled difference test statistic T̄(d) introduced in Satorra (2000), which requires more involved computations beyond standard output of SEM software. The test statistic [Formula: see text] 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 T̄(d) that avoids negative chi-square values.

Entities:  

Year:  2010        PMID: 20640194      PMCID: PMC2905175          DOI: 10.1007/s11336-009-9135-y

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  3 in total

1.  Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic.

Authors:  Albert Satorra; Peter M Bentler
Journal:  Psychometrika       Date:  2010-06       Impact factor: 2.500

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Authors:  Peter M Bentler; Albert Satorra; Ke-Hai Yuan
Journal:  Struct Equ Modeling       Date:  2009-04-01       Impact factor: 6.125

  3 in total
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4.  Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic.

Authors:  Albert Satorra; Peter M Bentler
Journal:  Psychometrika       Date:  2010-06       Impact factor: 2.500

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