Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic
2009; Springer Science+Business Media; Volume: 75; Issue: 2 Linguagem: Inglês
10.1007/s11336-009-9135-y
ISSN1860-0980
AutoresAlbert Satorra, Peter M. Bentler,
Tópico(s)Advanced Statistical Modeling Techniques
ResumoA 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.
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