The CFA results showed that the single-factor model fit indices of the brand attitude scale were as follows: CMIN = 10.738, df = 9, CMIN/df = 1.193, RMSEA = .029, NFI = .962, IFI = .994, CFI = .994, and GFI = .985, demonstrating good validity.
However, only 18.6% of the pathogens were in this category; 11.6% of the isolated pathogens were resistant bacteria (MIC ≥16) against which adequate pharmacokinetic efficacy was not achieved in either group with 3 g of meropenem per day (the C[sub]T40% of the intermittent group was 5.4 mg/L, while the Cmin of the continuous group was 11.7 mg/L).
The commonly used fit indices in the literature include the related Chi-square statistics (CMIN), comparative fit index (CFI), Tukey-Lewis index (TLI), and root mean square error of approximation (RMSEA).
Also, although the CMIN statistic is 0.422, it is acknowledged that the statistic does not provide reliable evidence of the goodness-of-fit for the model as the sample size for the current study is greater than 200 respondents (Smith & Langfield-Smith, 2004).
The CFA constructs (Table 1) produced a relatively good fit as indicated by the goodness of fit indices, such as a CMIN / def ratio (<5); p-value (>0.05) and Goodness of Fit Index (GFI) are all approaching 1, while the root mean square error of approximation (RMSEA) values of less than .08 (<.
We selected CMIN/df , GFI, and AGFI as absolute goodness of fit to evaluate our model's overall fitness as well as CMIN. We also selected the incremental goodness of fit and the parsimony goodness of fit to compare the difference between the proposed model's complexity and objectivity.