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Table 3 Comparisons of factor models using Structural Equation Modelling (SEM) in clinical sample 2 ( n = 257)

From: The factor structure and psychometric properties of the Clinical Outcomes in Routine Evaluation – Outcome Measure (CORE-OM) in Norwegian clinical and non-clinical samples

Model

df

χ 2

SB χ 2

AIC

RMSEA

CFI

0: Null model

561

15610.0

15010.0

15077.9

.3172

.040

1: One factor

527

2374.8

1778.4

1914.4

.0963

.917

2: Two factors

526

1963.7

1457.4

1595.4

.0831

.938

3: Three factors

524

1890.2

1360.8

1502.8

.0790

.944

4: Four factors

521

1784.7

1289.2

1437.2

.0759

.949

5: Four CORE domains

521

1854.7

1367.5

1515.5

.0797

.944

6: Four factors +g

493

1347.4

953.3

1157.3

.0605

.969

7: Four factors +g+ Four CORE domains1

477

1235.1

876.4

1112.4

.0572

.974

  1. Notes. Factor scores were allowed to correlate in models 1–5. In model 6 factor scores are specified as independent, due to the general factor explaining factor covariance. 1 Same model as in Table 4 and Figure 1.