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Table 8 Stepwise linear regression analyses for CORE scores and domains, controlling for gender, age and clinical status

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

  Dependent variable in model
Independent variables3 Well-being1 Symptoms Functioning Risk Non-risk All items
  β2 p< β p< β p< β p β p β p
Gender 0.08 .001 0.02 n.s. −0.02 n.s. −0.14 .0001 0.02 n.s. 0.00 n.s.
(Male=0, female=1)             
Age −0.04 n.s. 0.00 n.s. −0.06 .05 −0.11 .0001 −0.30 n.s. −0.04 n.s.
Patient status 0.69 .0001 0.73 .0001 0.65 .0001 0.46 .0001 0.73 .0001 0.72 .0001
(Non-clinical=0, Clinical=1)             
  1. 1 Model fit statistics (ANOVA) with df=3 for all models: Well-being: F=279.1, p<.0001; Symptoms/ Problems: F=363.7, p<.0001; Functioning: F=232.3, p<.0001; Risk: F= 98.6, p<.0001; Non-risk: F= 352.1, p<.0001; All items: F= 338.0, p<.0001.
  2. 2 β Standarized Beta of independent variables.
  3. 3 Variables entered stepwise in order: Gender + Age+ Patient status.