(searched for: 10.29328/journal.jcad.1001011)
Published: 21 November 2019
Journal of Clinical Advances in Dentistry, Volume 3, pp 018-022; https://doi.org/10.29328/journal.jcad.1001011
Published: 29 May 2018
Measurement and Evaluation in Counseling and Development, Volume 52, pp 52-68; https://doi.org/10.1080/07481756.2017.1358063
Using effect sizes from Erford, Paul, Oncken, Kress, & Erford ( 2014 Erford, B. T. , Paul, L. E. , Oncken, C. , Kress, V. E. , & Erford, M. R. (2014). Counseling outcomes for youth with oppositional behavior: A meta-analysis. Journal of Counseling & Development, 92, 13–24. https://doi.org/10.1002/j.1556-6676.2014.00125.x [Google Scholar] ) meta-analysis for treatments of oppositional defiant disorder and Erford, Bardhoshi, Ross, Gunther, & Duncan ( 2017 Erford, B. T. , Bardhoshi, G. , Ross, M. , Gunther, C. , & Duncan, K. (2017). Meta-analysis of counseling outcomes for youth with conduct disorders. Journal of Counseling & Development, 95, 35–44. https://doi.org/10.1002/jcad.12115 [Google Scholar] ) meta-analysis of conduct problems in school-aged youth, the 6 most commonly used disruptive behavior instruments were analyzed for practical and technical strengths and weaknesses, and best use recommendations for screening and counseling outcome research were provided. The instruments included the Achenbach System of Empirically-Based Assessment (ASEBA), Revised Behavior Problem Checklist, Self-Report Delinquency Checklist, Eyberg Child Behavior Inventory/Sutter-Eyberg School Behavior Inventory, Conners–3 Rating Scale, and Parent Daily Report.
Computer-Aided Design, Volume 43, pp 417-426; https://doi.org/10.1016/j.cad.2010.11.006
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Computer-Aided Design, Volume 42, pp 953-955; https://doi.org/10.1016/j.cad.2010.08.005
Scientific Modeling and Simulation SMNS, Volume 15, pp 3-4; https://doi.org/10.1007/s10820-008-9098-9
Published: 1 January 2008
Lecture Notes in Computational Science and Engineering, Volume 68, pp 3-4; https://doi.org/10.1007/978-1-4020-9741-6_2