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. 2021 Nov 17;18:100391. doi: 10.1016/j.bbih.2021.100391

Table 3.

Fit statistics of different inflammatory models.

Robust χ2 Robust χ2 df Robust pχ2 Robust CFI Robust RMSEA Robust 90% CI RMSEA SRMR AIC BIC
MIDUS-R CFAs (N ​= ​849)
A priori/Tau-equivalent 246.150 27 <.001 .089 .184 .163–.206 .160 50,864.267 50,944.916
Empirically-identified 19.101 2 <.001 .966 .068 .042–.097 .022 25,598.958 25,655.887
MIDUS-R SEMs with Medical Criteria (N ​= ​776)
A priori/Tau-equivalent 1231.540 76 <.001 .077 .133 .126–.139 .105 46,447.441 46,559.141
Empirically-identified 109.019 23 <.001 .956 .053 .043–.063 .021 45,511.005 45,869.375
Individual proteins .000 0 N/A 1.000 .000 .000 .000 45,493.632 45,959.047

Note: χ2 ​= ​Chi-squared, df ​= ​degrees of freedom, p ​= ​p-value, CFI = Comparative Fit Index, RMSEA ​= ​Root Mean Square Error of Approximation, CI = Confidence Interval, SRMS = Standardized Root Mean Square Residual, AIC ​= ​Akaike Information Criterion, BIC = Bayesian Information Criterion, MIDUS-R ​= ​Midlife in the United States-Refresher, CFA= Confirmatory Factor Analysis, SEM = Structural Equation Model, IL-6 ​= ​Interleukin-6.