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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: Psychol Addict Behav. 2012 Dec 31;27(3):774–787. doi: 10.1037/a0031256

Table 6.

Logistic regression analyses testing incremental validity for identifying SCID diagnoses of substance use disorders

SCID DIAGNOSIS
Substance Abuse1 Substance Dependence2 Substance Use Disorder3



STEP 1 Model fit χ2(2) = 207.53***, R2 = .27 Model fit χ2(2) = 150.66***, R2 = .23 Model fit χ2(2) = 327.28***, R2 = .35



β S.E. Odds Ratio 95% CI β S.E. Odds Ratio 95% CI β S.E. Odds
Ratio
95% CI



Self-Report 3.09*** .31 22.00 12.06–40.14 2.72*** .31 15.10 8.22–27.75 3.19*** .25 24.16 14.86–39.27



STEP 2 Model fit χ2(3) = 269.95***, R2 = .35 Model fit χ2(3) = 260.36***, R2 = .38 Model fit χ2(3) = 504.12***, R2 = .51
χ2change (1) = 62.42***
χ2change (1) = 109.70***
χ2change (1) = 176.84***
β S.E. Odds Ratio 95% CI β S.E. Odds Ratio 95% CI β S.E. Odds Ratio 95% CI



Self-Report 1.87*** .35 6.49 3.26–12.94 0.78* .38 2.19 1.03–4.64 1.12*** .31 3.07 1.68–5.61
AUS/DUS Ratings 0.61*** .08 1.84 1.57–2.15 0.90*** .10 2.46 2.04–2.97 1.13*** .10 3.09 2.53–3.77

Notes. N = 1,447.

*

p < .05.

**

p < .01.

***

p < .001. R2 values are Nagelkerke.

1

SCID diagnosis for at least one of alcohol or drug abuse.

2

SCID diagnosis for at least one of alcohol or drug dependence.

3

SCID diagnosis for at least one of alcohol or drug abuse or dependence.