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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