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Exact(16)
For the fall injury hospitalization, global models were all statistically significant and the goodness of fit tests indicated a consistently good fit model.
It is suggested that R 2 should be close to 1 for a good fit model (Boubakri et al. 2013).
The adjusted goodness-of-fit statistic (AGFI): Similar to GFI, values higher than 0.9 indicate a good fit model.
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).
Based on the result, the coefficient of determination R 2 is defined as the ratio of the explained variation to the total variation in total phenolic and total flavonoid contents were R 2 = 0.9993 and R 2 = 0.9952 respectively showing a good fit model.
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.
Similar(44)
Good fitted model should have a minimum R 2 = 0.8.
In particular, Hu and Bentler (1999) suggested the two-index presentation strategy and combinational rules of CFI of.96 or higher and SRMR of.09 or lower as an indicator of good-fit model.
These models were good-fit models based on the large-scale dataset (HL statistics < 15.0).
The model R 2 equalled.994, which indicates a good fit of model (10).
For a good fit of model, the correlation coefficient should be at a minimum of 0.80.
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Justyna Jupowicz-Kozak
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