Table 2 Fit measures for models 1 and 2

Model

X[sup2]

X[sup2]/df

GFI

AGFI

IFI

SRMR

X[sup2] = Chi-Squared is rarely used by itself as a measure of model fit, since it is heavily influenced by the number of cases in the sample (Byrne, 1998).

X[sup2]/df = Chi-Squared divided by degrees of freedom and a small resulting value interpreted as a good fit, while a large value is generally seen as indicative of a bad or poor data-model fit. Usually, as a rule of thumb, a cut-off value of 3.00 to 4.00, and even as high as 5.00, is interpreted as indicative as a good data-model fit (Bollen, 1989, p. 278; Hayduk, 1987, p. 168; Mueller, 1996, p. 84).

GFI = Goodness of Fit is a measure of the amount of observed variance/covariance information that can be accounted for by the hypothesized model and values over 0.90 are seen as...
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