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. 2018 Dec 21;9:2638. doi: 10.3389/fpsyg.2018.02638

Table 3.

Matrix characteristics and fit of the MTMM model for the SCS.

Country Det KMO Ba CMIN NPAR GFI AGFI NFI RFI SRMR
Brazil <0.001 0.91 <0.001 482.55 82 0.985 0.980 0.976 0.971 0.041
Chile <0.001 0.89 <0.001 515.09 82 0.978 0.971 0.968 0.961 0.052
Greece <0.001 0.94 <0.001 355.31 82 0.989 0.986 0.987 0.984 0.043
Spain <0.001 0.91 <0.001 539.19 82 0.985 0.980 0.977 0.972 0.041
United Kingdom <0.001 0.95 <0.001 292.18 82 0.993 0.991 0.992 0.990 0.037
United States <0.001 0.90 <0.001 81.70 82 0.983 0.978 0.974 0969 0.046
Iran 0.001 0.77 <0.001 704.10 82 0.944 0.927 0.882 0.857 0.062
Saudi Arabia 0.001 0.72 <0.001 946.99 82 0.940 0.922 0.859 0.830 0.063
Egypt <0.001 0.59 <0.001 1841.27 82 0.882 0.854 0.742 0.708 0.084
Korea <0.001 0.92 <0.001 269.44 82 0.990 0.987 0.987 0.985 0.039
Japan <0.001 0.86 <0.001 2469.68 82 0.970 0.961 0.948 0.937 0.052

Det, determinant of the matrix; KMO, Kayser-Meyer-Olkin index for sampling adequacy; Ba, p-value for the Bartlett’s test for sphericity; CMIN, Chi-square statistic comparing the tested model and the independence model to the saturated model; NPAR, number of parameters; GFI, goodness-of-fit index; AGFI, adjusted goodness-of-fit index; NFI, normed-fit index; RFI, Bollen’s relative fit index; SRMR, standardized root mean square residual.