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Table 1 Model fit information for Confirmatory Factor Analyses of the Clinical Outcomes in Routine Evaluation - Outcome Measure

From: Factor analysis of the Clinical Outcomes in Routine Evaluation – Outcome Measures (CORE-OM) in a Kenyan sample

Model X2 (df) p AIC RMSEA (95%CI) CFI SRMR
1. a) G + four uncorrelated domains 1330.28 (497) <.001 36287.00 .07 (.06, .07) .84 .06
1. b) G + four correlated domainsa 1139.73 (487) <.001 36116.45 .06 (.06, .07) .87 .05
1. c) G + three correlated domainsb 1143.24 (490) <.001 36113.96 .06 (.06, .07) .87 .05
2. G + risk 1439.30 (521) <.001 36348.02 .07 (.07, .08) .82 .06
3. a) G + pos. responding + four correlated domainsa 977.80 (482) <.001 35964.51 .06 (.05, .06) .90 .04
3. b) G + pos. responding + three correlated domainsb    No convergence   
4. G + pos. responding + risk 1224.05 (520) <.001 36134.76 .06 (.06, .07) .86 .05
  1. aThe correlation between Well-being and Problems was estimated as > 1.0 in all models with four correlated domains
  2. bIn the models with three correlated domains, Well-being and Problems were merged