The Strengths of Youth in a Public Behavioral Health System: Measurement Choices, Prevalence Rates, and Group Differences
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Youth with severe emotional and behavioral problems receiving services in public behavioral health systems have strengths that are understudied in research and underutilized in practice. This study explores four alternative strategies (individual item scores, the number of “actionable” strengths, subscales, and a total composite) for summarizing the strengths of youth assessed with the Child and Adolescent Needs and Strengths (CANS) in a large, urban, public behavioral health system. The paper examines whether these summarization strategies produce divergent understandings of the prevalence of strengths across gender, age, and racial groups. Analyses suggest that youth enter this system with high levels of strengths. There are few group differences in strengths across the diverse summarization strategies. Though the practice-preferred method of using individual strengths items provides the most interpretable information about strengths, the aggregation strategies may be useful for programs and systems. Implications for policy and practice are discussed.
KeywordsSystems of care Children and adolescents Strengths Strengths-based assessment CANS
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no competing interests.
- 1.CMHI Annual Report. The Comprehensive Community Mental Health Services for Children and Their Families Program Evaluation Findings. Rockville, MD: U.S. Dept. of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, 2011.Google Scholar
- 2.Surgeon General’s Conference on Children’s Mental Health: Developing a National Action Agenda. Report of the Surgeon General’s Conference on Children’s Mental Health A National Action Agenda. Washington, DC: Dept. of Health and Human Services, Public Health Service, 2000.Google Scholar
- 3.Building Bridges Initiative. Finding and engaging families for youth receiving residential interventions: key issues, tips, and strategies for residential leaders. Available online at http://www.buildingbridges4youth.org/sites/default/files/Finding%20and%20Engaging%20Families%20Main%20%20Document%20Final%20July%206%202015%283%29.pdf. Accessed on February 18th, 2016.
- 4.Franz J. ADMIRE: Getting practical about being strengths-based. In EJ Bruns & JS Walker (Eds.). The Resource Guide to Wraparound. Portland, OR: National Wraparound Initiative, Research and Training Center for Family Support and Children’s Mental Health, Portland State University. Available online at http://www.rtc.pdx.edu/NWI-book. Accessed on February 18th, 2016.
- 5.Center for Mental Health Services (U.S.). Promotion and prevention in mental health: strengthening parenting and enhancing child resilience: Report to Congress requested in Senate report 109-103 and Conference report 109-337. Rockville, MD: U.S. Dept. of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services, 2007.Google Scholar
- 7.LeBuffe PA, Shapiro VB, Naglieri JA. The Devereux Student Strengths Assessment (DESSA): Assessment, Technical Manual, and User’s Guide. North Carolina: Apperson, Inc, 2014.Google Scholar
- 8.Lyons JS. Redressing the emperor: Improving our children’s public behavioral health system. Westport, CT: Praeger, 2004.Google Scholar
- 9.Snyder CR, Lopez, SJ. Oxford Handbook of Positive Psychology. New York: Oxford University Press, 2009.Google Scholar
- 17.Cassidy J. The nature of the child’s ties. In: J Cassidy & PR Shaver. Handbook of Attachment: Theory, Research, and Clinical Applications. New York: Guilford Press, 2016, pp. 3–24.Google Scholar
- 18.Child and Adolescent Needs and Strengths User Manual (CANS-BHS). CANS-BHS State: CANS-BHS County, 2010.Google Scholar
- 21.Kids Data. Finding information about the health and well-being of children in communities across California. Available online at www.kidsdata.org. Accessed on February 18th, 2016.
- 22.StataCorp. Stata: Release 13. Statistical Software User Manual. Texas: StataCorp LP, 2013.Google Scholar
- 23.Comrey AL, Lee HB. A first course in factor analysis (2nd ed.). New Jersey: Lawrence Erlbaum, 1992.Google Scholar
- 25.Gerbing DW, Anderson JC. Monte Carlo evaluations of goodness-of-fit indices for structural equation models. In K. Bollen & J. Long (Eds.), Testing structural equation models. California: Sage Publications, 1999, pgs.40–65.Google Scholar
- 27.Harrington D. Confirmatory Factor Analysis. New York: Oxford University Press, 2009.Google Scholar
- 28.Kline RB. Principles and Practice of Structural Equation Modeling (2nd Edition ed.). New York: The Guilford Press, 2005.Google Scholar
- 29.Asparouhov T, Muthén, BO. Robust chi square difference testing with mean and variance adjusted test statistics. MplusWeb Notes. Available online at http://statmodel2.com/download/webnotes/webnote10.pdf. Accessed on February 18th, 2016.
- 31.Cohen J. Statistical Power Analysis for the Behavioral Sciences (2nd ed.). New Jersey: Lawrence Erlbaum Associates, 1988.Google Scholar
- 33.Card D, Chetty R, Feldstein M, et al. Expanding access to administrative data for research in the United States. National Science Foundation White Paper. 2010. Accessed on November 17th, 2014, at http://eml.berkeley.edu/~saez/card-chetty-feldstein-saezNSF10dataaccess.pdf.