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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.