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. 2022 Jul 6;153:236–244. doi: 10.1016/j.jpsychires.2022.07.004

Table 1.

Fit statistics for all models and model comparisons.

#pa (Δ)χ2 p CFI TLI SRMR AIC BIC
Model 1 No coupling between SOC and psychopathological symptoms 98 117.95 .083 .992 .992 .022 108,868 108,979
Model 2 Unidirectional coupling from psychopathological symptoms to SOC 97 115.18 .100 .992 .993 .025 108,861 108,978
Model 1 vs. Model 2 df = 1 1.99 .159
Model 3 Unidirectional coupling from SOC to psychopathological symptoms 97 112.39 .136 .992 .993 .023 108,860 108,977
Model 1 vs. Model 3 df = 1 78.70 < .001
Model 4 Bidirectional coupling between SOC and psychopathological symptoms 96 110.07 .155 .992 .993 .024 108,855 108,976
Model 3 vs. Model 4 df = 1 1.76 .185
Model 5 Multigroup model (Unidirectional coupling from SOC to psychopathological symptoms) 194 282.21 < .001 .984 .985 .034 104,899 105,130
Model 3 vs. Model 5 df = 97 194.54 < .001

Note. AIC: Akaike Information Criterion, BIC: Bayesian information criterion, CFI: Comparative Fit Index, #pa: number of parameters, df: degrees of freedom, SRMR: Standardized Root-Mean-Square Residual, TLI: Tucker-Lewis Index.