Table 2 Results from logistic regression analyses.

From: Predicting models for work outcomes in patients with schizophrenia and its clinical application

Criterion (h/w)a

Independent variables

B

SE B

Wald

df

p

Exp (B)b

95%CI Lower

95%CI Upper

χ2

df

p

Predicting accuracy

0-h criterion

Independence-Performance

0.797

0.153

27.140

1

0.000

2.218

1.644

2.993

51.496

2

0.000

66.7%

Withdrawal

0.284

0.144

3.893

1

0.048

1.328

1.002

1.762

    

Constant

0.270

0.129

4.352

1

0.037

1.310

      

10-h criterion

Independence-Performance

1.146

0.216

28.146

1

0.000

3.145

2.060

4.803

73.713

2

0.000

79.4%

Experiential deficits factor

0.422

0.169

6.225

1

0.013

1.525

1.095

2.124

    

Constant

-1.280

0.174

54.318

1

0.000

0.278

      

20-h criterion

Independence-Performance

1.864

0.421

19.618

1

0.000

6.453

2.828

14.725

74.933

3

0.000

81.8%

Experiential deficits factor

0.670

0.198

11.462

1

0.001

1.954

1.326

2.879

    

Independence-competence

-0.884

0.421

4.416

1

0.036

0.413

0.181

0.942

    

Constant

-1.944

0.224

75.430

1.00

0.000

0.143

      

30-h criterion

Independence-Performance

1.280

0.322

15.790

1

0.000

3.597

1.913

6.763

53.769

2

0.000

88.3%

Experiential deficits factor

0.647

0.227

8.121

1

0.004

1.910

1.224

2.981

    

Constant

-2.825

0.323

76.508

1

0.000

0.059

      
  1. a0-hour criterion, 0 vs. longer than 0;10-h criterion, less than 10 vs. 10 or longer; 20-h criterion, less than 20 vs. 20 or longer; 30-h criterion, less than 30 vs. 30 or longer.
  2. bExp (B) represents an odds ratio.
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