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. 2018 May 22;9:779. doi: 10.3389/fpsyg.2018.00779

Table 4.

Goodness-of-fit statistics and information criteria for the estimated models on the Multidimensional Competitive Orientation Inventory.

Gender invariance
Model χ2 (df) CFI TLI RMSEA 90% CI CFit Comparison Δχ2 (df) ΔCFI ΔTLI ΔRMSEA

MGa. Male 134.205 (48) 0.983 0.976 0.029 0.039–0.059 0.536
MGb. Female 165.040 (48) 0.986 0.981 0.045 0.038–0.053 0.833
MG1. Configural 299.245 (96) 0.985 0.979 0.047 0.041–0.053 0.795
MG2. Weak 305.616 (104) 0.985 0.981 0.045 0.039–0.051 0.923 MG2–MG1 6.371 (8) 0.000 0.002 -0.002
MG3. Strong 332.529 (112) 0.984 0.981 0.045 0.040–0.051 0.917 MG3–MG2 26.913 (8) -0.001 0.000 0.000
MG4. Strict 357.956 (124) 0.983 0.981 0.044 0.039–0.050 0.960 MG4–MG3 25.427 (12) -0.001 0.000 -0.001
MG5. Latent variance-covariance 406.102 (134) 0.980 0.980 0.046 0.041–0.051 0.902 MG5–MG4 48.146 (10) -0.003 -0.001 0.002
MG6. Latent means 498.073 (138) 0.973 0.974 0.052 0.047–0.057 0.238 MG6–MG5 91.971 (4) -0.007 -0.006 0.006

CFA, confirmatory factor analysis; χ2, Chi-square; df, degrees of freedom; CFI, comparative fit index; TLI, Tucker–Lewis Index; RMSEA, root-mean-square error of approximation; 90% CI, 90% confidence interval of the RMSEA; CFit, RMSEA’s test of close fit; Δχ2, Chi-square difference test; ΔCFI, change in CFI value compared to the preceding model; ΔTLI, change in the TLI value compared to the preceding model; ΔRMSEA, change in the RMSEA value compared to the preceding model; Bold letters indicate the final models and final levels of invariance that were achieved.; p < 0.01.