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Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis.

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  • Additional Information
    • Author-Supplied Keywords:
      data mining
      Employment
      substance use
      veteran
      vocational rehabilitation
    • NAICS/Industry Codes:
      923140 Administration of Veterans' Affairs
      624310 Vocational Rehabilitation Services
    • Abstract:
      OBJECTIVE: The purpose of this study was to explore factors associated with employment outcomes of veterans with substance use disorders. METHODS: Chi-squared automatic interaction detector (CHAID) was used to explore how interactions between participant entry characteristics and treatment participation variables relate to employment outcome. Participants included 46,641 veterans with substance use disorders from the Veterans Health Administration's CompensatedWork Therapy (CWT) Programs during the period of 1993 to 2005 The data used in this study were administrative archival data routinely collected by the Northeast Program Evaluation Center (NEPEC) from all CWT programs nationwide. RESULTS: Factors most highly associated with competitive employment outcome included greater treatment intensity, defined as higher weekly mean earnings and longer treatment duration; higher vocational functioning prior to admission defined as a shorter length of time since employed for at least a month; and participation in a transitional work experience position on the VA grounds. CONCLUSION: The CHAID analysis was able to construct an optimal model using participant entry characteristics and treatment participation variables to explain the variance in the dependent variable, employment outcome. Through the process of segmentation of the sample into mutually exclusive homogeneous subgroups with different probabilities of positive outcomes, CHAID provided detailed information about interactions between the participant entry characteristics and treatment participation variables on the one hand and the outcome variables on the other. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Journal of Vocational Rehabilitation is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • Author Affiliations:
      1William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
      2University of Wisconsin-Madison, Madison, WI, USA
      3University of North Texas, Denton, TX, USA
      4Yale University School of Medicine and VA Northeast Program Evaluation Center, New Haven, CT, USA
    • ISSN:
      1052-2263
    • Accession Number:
      10.3233/JVR-150761
    • Accession Number:
      129429368
  • Citations
    • ABNT:
      BAKKEN-GILLEN, S. K. et al. Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis. Journal of Vocational Rehabilitation, [s. l.], v. 43, n. 2, p. 113–127, 2015. DOI 10.3233/JVR-150761. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=129429368&custid=s8280428. Acesso em: 6 jul. 2020.
    • AMA:
      Bakken-Gillen SK, Berven NL, Fong Chan, Brooks J, Resnick SG. Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis. Journal of Vocational Rehabilitation. 2015;43(2):113-127. doi:10.3233/JVR-150761.
    • AMA11:
      Bakken-Gillen SK, Berven NL, Fong Chan, Brooks J, Resnick SG. Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis. Journal of Vocational Rehabilitation. 2015;43(2):113-127. doi:10.3233/JVR-150761
    • APA:
      Bakken-Gillen, S. K., Berven, N. L., Fong Chan, Brooks, J., & Resnick, S. G. (2015). Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis. Journal of Vocational Rehabilitation, 43(2), 113–127. https://doi.org/10.3233/JVR-150761
    • Chicago/Turabian: Author-Date:
      Bakken-Gillen, Shana K., Norman L. Berven, Fong Chan, Jessica Brooks, and Sandra G. Resnick. 2015. “Prediction of Employment Outcomes among Veterans with Substance Use Disorders: A Chi-Squared Interaction Detector Analysis.” Journal of Vocational Rehabilitation 43 (2): 113–27. doi:10.3233/JVR-150761.
    • Harvard:
      Bakken-Gillen, S. K. et al. (2015) ‘Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis’, Journal of Vocational Rehabilitation, 43(2), pp. 113–127. doi: 10.3233/JVR-150761.
    • Harvard: Australian:
      Bakken-Gillen, SK, Berven, NL, Fong Chan, Brooks, J & Resnick, SG 2015, ‘Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis’, Journal of Vocational Rehabilitation, vol. 43, no. 2, pp. 113–127, viewed 6 July 2020, .
    • MLA:
      Bakken-Gillen, Shana K., et al. “Prediction of Employment Outcomes among Veterans with Substance Use Disorders: A Chi-Squared Interaction Detector Analysis.” Journal of Vocational Rehabilitation, vol. 43, no. 2, Aug. 2015, pp. 113–127. EBSCOhost, doi:10.3233/JVR-150761.
    • Chicago/Turabian: Humanities:
      Bakken-Gillen, Shana K., Norman L. Berven, Fong Chan, Jessica Brooks, and Sandra G. Resnick. “Prediction of Employment Outcomes among Veterans with Substance Use Disorders: A Chi-Squared Interaction Detector Analysis.” Journal of Vocational Rehabilitation 43, no. 2 (August 2015): 113–27. doi:10.3233/JVR-150761.
    • Vancouver/ICMJE:
      Bakken-Gillen SK, Berven NL, Fong Chan, Brooks J, Resnick SG. Prediction of employment outcomes among veterans with substance use disorders: A chi-squared interaction detector analysis. Journal of Vocational Rehabilitation [Internet]. 2015 Aug [cited 2020 Jul 6];43(2):113–27. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=129429368&custid=s8280428