Literature DB >> 25018573

Data Collection Strategies and Measurement Tools for Assessing Academic and Therapeutic Outcomes in Recovery Schools.

Andria M Botzet1, Patrick W McIlvaine1, Ken C Winters1, Tamara Fahnhorst1, Christine Dittel1.   

Abstract

Accurate evaluation and documentation of the efficacy of recovery schools can be vital to the continuation and expansion of these beneficial resources. A very limited data set currently exists that examines the value of specific schools established to support adolescents and young adults in recovery; additional research is necessary. The following article outlines the methodology utilized in a current quasi-experimental study evaluating both academic and therapeutic outcomes of adolescents attending recovery high schools as compared to traditional (non-recovery-based) high schools. The developmental considerations in assessing adolescents in recovery and their parents is delineated in this article, which underscores the need for extensive knowledge of adolescent substance abuse and other mental health issues. In addition, sensitivity around privacy among adolescents, parents, schools, and health providers is highlighted, as well as the validity of assessment. Key assessment strategies, including protocol of recruitment and interviewing techniques, are also presented along with a list of parent and adolescent assessment instruments and their corresponding interpretive variables. Protocol recommendations for future research are also outlined.

Entities:  

Year:  2014        PMID: 25018573      PMCID: PMC4091997          DOI: 10.1080/0161956X.2014.895648

Source DB:  PubMed          Journal:  Peabody J Educ        ISSN: 0161-956X


  19 in total

1.  Integrated family and cognitive-behavioral therapy for adolescent substance abusers: a stage I efficacy study.

Authors:  William W Latimer; Ken C Winters; Thomas D'Zurilla; Mike Nichols
Journal:  Drug Alcohol Depend       Date:  2003-09-10       Impact factor: 4.492

Review 2.  Adolescent brain development: a period of vulnerabilities and opportunities. Keynote address.

Authors:  Ronald E Dahl
Journal:  Ann N Y Acad Sci       Date:  2004-06       Impact factor: 5.691

3.  Validity of adolescent self-report of substance use.

Authors:  Robert J Williams; Nadine Nowatzki
Journal:  Subst Use Misuse       Date:  2005       Impact factor: 2.164

4.  Development and validation of the GAIN Short Screener (GSS) for internalizing, externalizing and substance use disorders and crime/violence problems among adolescents and adults.

Authors:  Michael L Dennis; Ya-Fen Chan; Rodney R Funk
Journal:  Am J Addict       Date:  2006

5.  The effectiveness of the Minnesota Model approach in the treatment of adolescent drug abusers.

Authors:  K C Winters; R D Stinchfield; E Opland; C Weller; W W Latimer
Journal:  Addiction       Date:  2000-04       Impact factor: 6.526

6.  The reliability of a timeline method for assessing normal drinker college students' recent drinking history: utility for alcohol research.

Authors:  M B Sobell; L C Sobell; F Klajner; D Pavan; E Basian
Journal:  Addict Behav       Date:  1986       Impact factor: 3.913

7.  Structural magnetic resonance imaging of the adolescent brain.

Authors:  Jay N Giedd
Journal:  Ann N Y Acad Sci       Date:  2004-06       Impact factor: 5.691

8.  Rapid relapse generally follows treatment for substance use disorders among adolescents.

Authors:  Jack R Cornelius; Stephen A Maisto; Nancy K Pollock; Christopher S Martin; Ihsan M Salloum; Kevin G Lynch; Duncan B Clark
Journal:  Addict Behav       Date:  2003-03       Impact factor: 3.913

9.  How should we revise diagnostic criteria for substance use disorders in the DSM-V?

Authors:  Christopher S Martin; Tammy Chung; James W Langenbucher
Journal:  J Abnorm Psychol       Date:  2008-08

10.  Identifying Baseline Covariates for Use in Propensity Scores: A Novel Approach Illustrated for a Non-randomized Study of Recovery High Schools.

Authors:  Emily E Tanner-Smith; Mark W Lipsey
Journal:  Peabody J Educ       Date:  2014-01-01
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  6 in total

1.  Recovery High School Attendance Effects on Student Delinquency and Substance Use: the Moderating Role of Social Problem Solving Styles.

Authors:  Emily E Tanner-Smith; Lindsey M Nichols; Christopher M Loan; Andrew J Finch; D Paul Moberg
Journal:  Prev Sci       Date:  2020-11

2.  Adolescent recovery capital and recovery high school attendance: An exploratory data mining approach.

Authors:  Emily A Hennessy; Andrew J Finch
Journal:  Psychol Addict Behav       Date:  2019-11-14

3.  Net Benefits of Recovery High Schools: Higher Cost but Increased Sobriety and Educational Attainment.

Authors:  David L Weimer; Paul Moberg; Falon French; Emily E Tanner-Smith; Andrew J Finch
Journal:  J Ment Health Policy Econ       Date:  2019-09-01

4.  Discrepant Parent-Adolescent Reports of Parenting Practices: Associations with Adolescent Internalizing and Externalizing Symptoms.

Authors:  Lindsey M Nichols; Emily E Tanner-Smith
Journal:  J Youth Adolesc       Date:  2022-03-31

5.  Recovery High Schools: Students and Responsive Academic and Therapeutic Services.

Authors:  D Paul Moberg; Andrew J Finch; Stephanie M Lindsley
Journal:  Peabody J Educ       Date:  2014

6.  Recovery high schools: Effect of schools supporting recovery from substance use disorders.

Authors:  Andrew J Finch; Emily Tanner-Smith; Emily Hennessy; D Paul Moberg
Journal:  Am J Drug Alcohol Abuse       Date:  2017-08-02       Impact factor: 3.829

  6 in total

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