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. 2023 Sep 8;7:90. doi: 10.1186/s41687-023-00632-5

Table 5.

Results of MI analyses between language samples and TBI severity groups and model comparison for the three-factor model comprising somatic, emotional, and cognitive factors using raw data [21]

Groups Constrains Model fit Model comparison
χ2 df p CFI TLI RMSEA CI90% Δ χ2 Δdf ΔCFI ΔRMSEA p
Language samplesa Baseline 1633.08 606  < 0.001 0.976 0.971 0.075 [0.071, 0.080]
Thresholds 1873.67 746  < 0.001 0.973 0.974 0.071 [0.067, 0.075] 164.50 140 0.003 0.004 0.077
Thresholds and loadings 1914.19 811  < 0.001 0.974 0.977 0.068 [0.064, 0.071] 71.504 65 − 0.001 0.003 0.271
TBI severity groups (mild/moderate vs. severe) Baseline 1028.87 202  < 0.001 0.98 0.977 0.068 [0.064, 0.072]
Thresholds 1092.79 230  < 0.001 0.979 0.979 0.065 [0.061, 0.069] 40.216 28 0.001 0.003 0.063
Thresholds and loadings 1052.98 243  < 0.001 0.981 0.981 0.061 [0.058, 0.065] 10.587 13 − 0.002 0.004 0.645

Values in bold indicate good model fit according to the respective cut-offs

aDutch, English, Finnish, Italian, Norwegian, Spanish

χ2, chi square; df, degree of freedom; χ2/df, ratio (cut-off: ≤ 2); p, p-value; CFI, Comparative Fit Index (cut-off: > 0.95); TLI, Tucker-Lewis Index (cut-off: > 0.95); RMSEA, root mean square error of approximation (cut-off: < 0.08) with 90% confidence interval (CI); Δ χ2, change in chi square values between compared models; Δdf, change in degrees of freedom between compared models; ΔCFI, change in CFI between compared models (cut-off: < 0.01); ΔRMSEA, change in RMSEA between compared models (cut-off: ≤ 0.01)