Data-Based Decision Making

Description:

Data-Based Decision Making (DBDM) is a systematic process used by school teams to collect, analyze, and use student data to identify students who may benefit from Tier 2 supports, monitor their progress, and evaluate the effectiveness of interventions. Within a Multi-Tiered System of Supports (MTSS), DBDM ensures that intervention decisions are driven by objective information rather than assumptions. By regularly reviewing academic, behavioral, attendance, and social-emotional data, educators can match student needs to appropriate supports and make timely adjustments when needed.

Topics:

Universal Screening and Early Warning Systems
Referral Systems
Problem Solving Teams
Direct Behavior Rating
Fidelity and Outcome Data
Intervention Intensification

Trainings:

Team Initiated Problem Solving (TIPS)