Using Machine Learning Methodology to Identify Predictors of Non-Response to MTSS-B: a Focus on Discipline Problems and Juvenile Justice Involvement
- DOI
- 10.1007/s11121-026-01932-0
- Published
- 2026-05-22
- Container
- Prevention Science
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11121-026-01932-0,
title = {Using Machine Learning Methodology to Identify Predictors of Non-Response to MTSS-B: a Focus on Discipline Problems and Juvenile Justice Involvement},
author = {Kate Somerville and Ali Ünlü and Angela K. Henneberger and Bess A. Rose and Elise T. Pas and Catherine P. Bradshaw},
year = {2026},
journal = {Prevention Science},
doi = {10.1007/s11121-026-01932-0},
url = {https://doi.org/10.1007/s11121-026-01932-0}
}RIS
TY - JOUR TI - Using Machine Learning Methodology to Identify Predictors of Non-Response to MTSS-B: a Focus on Discipline Problems and Juvenile Justice Involvement AU - Kate Somerville AU - Ali Ünlü AU - Angela K. Henneberger AU - Bess A. Rose AU - Elise T. Pas AU - Catherine P. Bradshaw PY - 2026 JO - Prevention Science DO - 10.1007/s11121-026-01932-0 UR - https://doi.org/10.1007/s11121-026-01932-0 ER -
APA
Somerville, K., Ünlü, A., Henneberger, A. K., Rose, B. A., Pas, E. T., & Bradshaw, C. P. (2026). Using Machine Learning Methodology to Identify Predictors of Non-Response to MTSS-B: a Focus on Discipline Problems and Juvenile Justice Involvement. Prevention Science. https://doi.org/10.1007/s11121-026-01932-0
Source records
- crossref · retrieved 2026-11-10T10:55:12.700Z