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. 2022 Oct 1;19(19):12559. doi: 10.3390/ijerph191912559
Comparison Models X² (df) CFI TLI RMSEA SRMR ΔX² (Δdf) ΔX²’ s p-Value ΔCFI ΔRMSEA ΔTLI
Sex MDE
Configural 3763.71 (64) 0.986 0.980 0.079 0.011
Metric 3991.62 (73) 0.985 0.982 0.076 0.021 227.91 (9) 0.000 0.001 0.003 0.002
Strong 4397.65 (82) 0.984 0.982 0.076 0.022 406.02 (9) 0.000 0.001 0.000 0.000
Strict 5212.04 (92) 0.980 0.981 0.078 0.023 814.39 (10) 0.000 0.004 0.002 0.001
Strict.1 1–2, 2–3, 2–4 5255.03 (95) 0.980 0.981 0.077 0.023 857.39 (13) 0.000 0.004 0.001 0.001
Means comparision 5338.83 (96) 0.980 0.981 0.077 0.033 83.80 (1) 0.000 0.000 0.000 0.000
GA
Configural 359.37 (10) 0.996 0.992 0.062 0.008
Metric 372.94 (14) 0.996 0.994 0.053 0.010 13.58 (4) 0.009 0.000 0.009 0.002
Strong 550.56 (18) 0.994 0.993 0.057 0.015 177.62 (4) 0.000 0.002 0.004 0.001
Strict 775.16 (23) 0.991 0.992 0.060 0.017 224.60 (5) 0.000 −0.003 0.003 0.001
Means comparison 1248.58 (24) 0.985 0.988 0.074 0.073 473.41 (1) 0.000 −0.006 0.014 0.004
COVID-19 MDE
Configural 3754.49 (64) 0.986 0.980 0.079 0.011
Metric 3915.00 (73) 0.985 0.982 0.076 0.018 160.51 (9) 0.000 0.001 0.003 0.002
Strong 4078.40 (82) 0.985 0.983 0.073 0.019 163.40 (9) 0.000 0.000 0.003 0.001
Strict 4525.84 (92) 0.983 0.983 0.072 0.020 447.44 (10) 0.000 0.002 0.001 0.000
Strict.1 1–2, 2–3, 2–4 4546.27 (95) 0.983 0.984 0.071 0.020 467.87 (13) 0.000 0.002 0.002 0.001
Means comparison 4821.78 (96) 0.982 0.983 0.073 0.042 275.51 (1) 0.000 0.001 0.002 0.001
GA
Configural 374.18 (10) 0.996 0.991 0.063 0.008
Metric 419.49 (14) 0.995 0.993 0.056 0.012 45.31 (4) 0.000 0.001 0.007 0.002
Strong 551.38 (18) 0.994 0.993 0.057 0.015 131.89 (4) 0.000 0.001 0.001 0.000
Strict 586.38 (23) 0.993 0.994 0.052 0.017 35.00 (5) 0.000 0.001 0.005 0.001
Means comparison 1096.12 (24) 0.987 0.989 0.07 0.067 509.74 (1) 0.000 0.006 0.018 0.005
Seeking Psychological Care MDE
Configural 3709.38 (64) 0.986 0.980 0.079 0.012
Metric 3757.30 (73) 0.986 0.983 0.074 0.014 47.92 (9) 0.000 0.000 0.005 0.003
Strong 4056.85 (82) 0.985 0.983 0.072 0.015 299.55 (9) 0.000 0.001 0.002 0.000
Strict 5380.40 (92) 0.980 0.980 0.079 0.017 1323.54 (10) 0.000 0.005 0.007 0.003
Strict.1 1–2, 2–3, 2–4 5437.96 (95) 0.979 0.981 0.078 0.017 1381.10 (13) 0.000 0.006 0.006 0.002
Means comparison 5884.95 (96) 0.978 0.979 0.081 0.049 446.99 (1) 0.000 0.001 0.003 0.002
GA
Configural 355.01 (10) 0.996 0.991 0.061 0.008
Metric 466.70 (14) 0.994 0.992 0.059 0.016 111.69 (4) 0.000 0.002 0.002 0.001
Strong 536.58 (18) 0.994 0.993 0.056 0.019 69.88 (4) 0.000 0.000 0.003 0.001
Strict 698.25 (23) 0.992 0.993 0.056 0.022 161.67 (5) 0.000 0.002 0.000 0.000
Means comparison 2348.64 (24) 0.971 0.976 0.102 0.128 1650.40 (1) 0.000 0.021 0.046 0.017
Violence Experience MDE
Configural 3818.73 (64) 0.986 0.980 0.080 0.012
Metric 3867.89 (73) 0.985 0.982 0.075 0.014 49.15 (9) 0.000 0.001 0.005 0.002
Strong 4211.51 (82) 0.984 0.983 0.074 0.017 343.62 (9) 0.000 0.001 0.001 0.001
Strict.1 9 6607.56 (91) 0.975 0.975 0.088 0.021 2396.05 (9) 0.000 0.009 0.014 0.008
Strict.2 9 1–2, 2–3, 2–4 6696.86 (94) 0.975 0.976 0.087 0.021 2485.35 (12) 0.000 0.009 0.013 0.007
Means comparison 7328.12 (95) 0.972 0.974 0.091 0.071 631.27 (1) 0.000 0.003 0.004 0.002
GA
Configural 371.78 (10) 0.995 0.991 0.063 0.008
Metric 555.98 (14) 0.993 0.990 0.065 0.024 184.20 (4) 0.000 0.002 0.002 0.001
Strong 568.95 (18) 0.993 0.992 0.058 0.024 12.97 (4) 0.011 0.000 0.007 0.002
Strict 1160.86 (23) 0.986 0.988 0.073 0.031 591.91 (5) 0.000 0.007 0.015 0.004
Means comparison 3240.17 (24) 0.96 0.967 0.121 0.17 2079.31 (1) 0.000 0.026 0.048 0.021
Note. MDE = Major Depressive Episode, GA = Generalized Anxiety, X2 = Chi-Square, df = degree freedom, CFI = Comparative Fit Index, TLI = Tucker-Lewis Index, RMSEA = Root Mean Square Error of Ap-proximation, SRMR = Standardized Root Mean Square Residual, ΔX2 (Δdf) = Chi Square subtraction of the model against the previous one (degree freedom subtraction of the model against the previous one), ΔX2’s p-value = p-value subtraction of the model against the previous one, ΔCFI = CFI subtraction of the model against the previous one, ΔRMSEA = RMSEA subtraction of the model against the previous one, ΔTLI = TLI subtraction of the model against the previous one.