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. 2022 Jan 4;10(1):93. doi: 10.3390/healthcare10010093

Table 3.

Path invariance across age, gender, and living place through multigroup structural equation modeling analysis.

Model and Comparisons Fit Statistics
χ2 (df)/p ∆χ2 (∆df)/p CFI ∆CFI TLI ∆TLI RMSEA ∆RMSEA SRMR ∆SRMR
Gender (males vs. females)
M1: Unconstrained 7.40 (2)/0.02 - 0.981 - 0.979 - 0.032 - 0.038 -
M2: Structural weights 13.65 (7)/0.06 6.25 (5)/0.28 0.987 0.006 0.980 0.001 0.028 −0.004 0.037 −0.001
M3: Structural covariances 15.14 (8)/0.06 7.74 (6)/0.26 0.989 0.002 0.982 0.002 0.027 −0.001 0.037 0.000
M4: Structural residuals 18.59 (11)/0.07 11.19 (9)/0.26 0.991 0.002 0.985 0.003 0.024 −0.003 0.035 −0.002
Age (>35.54 years vs. <35.54 years)
M1: Unconstrained 7.68 (2)/0.02 - 0.980 - 0.978 - 0.033 - 0.039 -
M2: Structural weights 12.81 (7)/0.08 5.13 (5)/0.40 0.984 0.004 0.983 0.005 0.027 −0.006 0.037 −0.002
M3: Structural covariances 13.60 (8)/0.09 5.92 (6)/0.43 0.985 0.001 0.984 0.001 0.022 −0.005 0.036 −0.001
M4: Structural residuals 17.32 (11)/0.10 9.64 (9)/0.38 0.988 0.003 0.986 0.002 0.019 −0.003 0.033 −0.003
Living (city vs. rural)
M1: Unconstrained 7.01 (2)/0.03 - 0.982 - 0.980 - 0.030 - 0.036 -
M2: Structural weights 13.81 (7)/0.055 6.80 (5)/0.24 0.983 0.001 0.982 0.002 0.028 −0.002 0.036 0.000
M3: Structural covariances 14.18 (8)/0.08 7.17 (6)/0.31 0.984 0.001 0.983 0.001 0.026 −0.002 0.035 −0.001
M4: Structural residuals 16.80 (11)/0.11 9.79 (9)/0.37 0.989 0.005 0.987 0.004 0.024 −0.002 0.030 −0.005

CFI = comparative fit index; TLI = Tucker–Lewis index; RMSEA = root mean square error of approximation; SRMR = standardized root mean square residual.