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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.
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BMC Psychiatry

ISSN: 1471-244X

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