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. 2023 Apr 28;53(15):7350–7357. doi: 10.1017/S0033291723000934

Table 1.

Fit indices for models of psychopathology with and without cognition

Model RMSEA TLI CFI
Entire cohort (N = 1189)
A correlated-factors model of psychopathology without cognition 0.037 0.991 0.992
A correlated-factors model of psychopathology with cognition 0.040 0.988 0.989
A hierarchical model of psychopathology without cognition 0.037 0.991 0.992
A hierarchical model of psychopathology with cognition 0.042 0.987 0.988
A single factor model of psychopathology without cognition 0.037 0.991 0.992
A single factor model of psychopathology with cognition 0.040 0.988 0.989
Participants with low cognitive abilities (standardized cognitive assessments scores < 85; N = 139)
A correlated-factors model of psychopathology without cognition 0.070 0.980 0.981
A correlated-factors model of psychopathology with cognition 0.067 0.978 0.979
A hierarchical model of psychopathology without cognition 0.070 0.980 0.981
A hierarchical model of psychopathology with cognition 0.066 0.979 0.980
A single factor model of psychopathology without cognition 0.070 0.980 0.981
A single factor model of psychopathology with cognition 0.068 0.977 0.979

Note. The goodness of fit was determined by the Tucker–Lewis Index (TLI) where values over 0.95 represent good fit, the Comparative Fit Index (CFI) where values over 0.95 represent good fit, and the Root-Mean-Square Error of Approximation (RMSEA), where values under 0.05 represent good fit, similar to previous research of psychopathology (Caspi et al., 2014). For all models fitted to the entire cohort, RMSEA P-value = 1; For all models fitted to participants with low cognitive abilities, RMSEA P-value = 0.