Who Benefits from Community Mental Health Care? Using Latent Profile Analysis to Identify Differential Treatment Outcomes for Youth

Author:

Bonadio F. Tony,Tompsett Carolyn

Publisher

Springer Science and Business Media LLC

Subject

Social Sciences (miscellaneous),Developmental and Educational Psychology,Education,Social Psychology

Reference58 articles.

1. Achenbach, T. M. (1991). Manual for the CBCL/4-18 and 1991 Profile. Burlington, VT: University of Vermont Research Center for Children, Youth, & Families.

2. Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA:SAGE.

3. Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model. Mplus Web Notes, 21(2). https://www.statmodel.com/examples/webnotes/webnote21.pdf .

4. Beauchaine, T. P., Webster-Stratton, C., & Reid, M. J. (2005). Mediators, moderators, and predictors of 1-year outcomes among children treated for early-onset conduct problems: A latent growth curve analysis. Journal of Consulting and Clinical Psychology, 73(3), 371–388. https://doi.org/10.1037/0022-006X.73.3.371 .

5. Bonadio, F. T., Dynes, M., Lackey, J., Tompsett, C., & Amrhein, K. (2016). Grouping youth with similar symptoms: A person-centered approach to transdiagnostic subgroups. Journal of Clinical Psychology, 72(7), 676–688. https://doi.org/10.1002/jclp.22274 .

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