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Good fitted model should have a minimum R 2 = 0.8.
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For the fall injury hospitalization, global models were all statistically significant and the goodness of fit tests indicated a consistently good fit model.
The adjusted goodness-of-fit statistic (AGFI): Similar to GFI, values higher than 0.9 indicate a good fit model.
It is suggested that R 2 should be close to 1 for a good fit model (Boubakri et al. 2013).
The insignificant value of the χ2 test signifies good fit model where modest variation among sample population and the fitted covariance matrix (Hu and Bentler 1998).
However, the AIC and BIC for the dominant model was also low and very close to the additive model and, therefore, could also be a good fit model.
A CFA analysis confirmed that the measurement model had a good fit (Model I, Table 4).
In this case, we have a good fit model representing a poor approximation of the Arab-foreign country collaboration.
This model yielded a good fit (model fitting statistics of this model compared with the saturated model, ∆− 2LL[∆ df = 33] = 29.31, p >.05).
Furthermore, Hosmer and Lemshow test indicated that both models had a good fit (Model 1: Chi square: 9.07, p = 0.0.38, Model 2: Chi square: 6.82, p = 0.556).
(d) Age: 2 groups with median split = 70.88 For the exploration of the model by age group, the base 1 and 2 group models both showed good fit (Model 1 and Model 2, see Table 5).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com