Table 1.
#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.