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Published on: January 31, 2017
Neutralization technique use predicts delinquency and substance use outcomes
Erin C Siebert1, David G Stewart2
1Seattle Pacific University, 3307 3rd Ave W, Seattle, WA 98119, United States of America.
Abstract:
This study was part of a larger research intervention that uses motivational interviewing (MI) as part of an in-school substance use intervention in local high schools in the greater Seattle area. Our aim was to test hypothesized relationships between marijuana use, other delinquent behavior, and neutralization techniques used by participants and determine their impact on the effectiveness of an MI-based substance use intervention. Of the 84 participants that completed Intake assessments, 60% were male and identified as an ethnic minority sample: Caucasian/White = 34%; African American/Black = 16%; Hispanic/Latin@ = 16%; Asian American/Asian = 8%; multiethnic = 8%. Forty-eight students completed Week 8 Follow Up assessments. Substance abuse was measured using the Customary Drinking and Drug Use Record (CDDR; Brown et al., 1998). Delinquency was measured using a revised version of the Late Adolescent Delinquency Scale (LADS; McCartan, 2007). Neutralization technique use was measured using a revised version of the Inventory of Neutralization Techniques (Ball, 1966; Ball, 1973; Mitchell & Dodder, 1983; Shields & Whitehall, 1994). Hierarchical linear regression analyses revealed that alcohol use at intake significantly predicted alcohol use at Week 8 Follow Up, F(1,47) = 8.503, p = .005 and accounted for approximately 16% of the model variance. Adding total neutralization to the model also yielded significant outcomes and accounted for 24% of the total variance, FΔ(2,46) = 4.835, p = .033. Data showed similar findings for marijuana, with Intake marijuana use predicting use at Week 8 Follow Up, F(1,47) = 9.542, p = .003, and accounting for approximately 18% of the model variance. Including total neutralization to this model also provided significant outcomes and accounted for 26% of the variance, FΔ(2,46) = 4.611, p = .037. Including delinquency did not significantly contribute to either regression model. Understanding these participants' cognitive strategies will be valuable in determining the most effective type of substance use treatment for each student.
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