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PBIS Data-Driven Decision Making

Jun 18, 2025

Overview

This lecture introduced foundational concepts for using data in decision-making within PBIS (Positive Behavioral Interventions and Supports), focusing on establishing data-driven systems to improve student outcomes and school climate.

Housekeeping & Session Norms

  • Sessions focus on responsibility, kindness, and safety, especially in chat interactions.
  • Use chat to ask questions; include district, state, and role for context.
  • Technical issues should be directed to the help desk.

PBIS Framework: Key Concepts

  • PBIS is a framework to organize schools for better academic, social, emotional, and behavioral outcomes.
  • The bicycle metaphor illustrates the need for all PBIS components to work together.
  • Major PBIS components: teaming/leadership, vision/expectations, teaching, feedback, consistent discipline, and data use.

Multi-Tiered System of Supports (MTSS)

  • MTSS provides a structure for tiered supports: universal (all), targeted (some), individualized (few).
  • Key MTSS components: leadership, coaching, fidelity evaluation, progress monitoring, universal screening, and evidence-based interventions.
  • PBIS is the social-emotional-behavioral component of MTSS.

Importance of Equity

  • Equity should be central throughout PBIS/MTSS, impacting outcomes, processes, and decision-making representation.
  • Aim for equitable student outcomes and inclusive practices across all students and staff.

Data-Based Decision Making

  • Use data to guide all decision-making, interventions, and to monitor progress.
  • Types of data include fidelity measures (e.g., TFI, BOQ), discipline referrals, attendance, grades, surveys, and focus groups.
  • Data analysis should be regular (monthly or more) and used to create, monitor, and adjust action plans.

Using and Sharing Data

  • Review data consistently and engage teams in action planning.
  • Share results with staff, students, and community to ensure buy-in and understanding of changes.
  • Use data not just for compliance but to drive meaningful improvements.

Consistency & Fidelity

  • Data consistency is essential and requires ongoing staff training and review.
  • Fidelity checks (e.g., Tiered Fidelity Inventory) confirm PBIS systems are implemented as intended.
  • Regular review and adaptation ensure practices remain relevant and effective.

Problem-Solving Process

  • Follow a cycle: define problems, analyze data, implement solutions, evaluate effectiveness, and adjust.
  • Ensure interventions are responding to the data needs at Tier 1 (for all), with more support added for some or few as indicated.

Key Terms & Definitions

  • PBIS (Positive Behavioral Interventions and Supports) β€” A framework to organize school supports for academic, social, and behavioral success.
  • MTSS (Multi-Tiered System of Supports) β€” A layered approach to providing support based on student needs.
  • Tiered Fidelity Inventory (TFI) β€” A tool to assess the fidelity of PBIS implementation at multiple levels.
  • Data-Based Decision Making β€” Using collected data to guide and improve school practices.

Action Items / Next Steps

  • Review your team’s current data analysis frequency and consistency.
  • Begin or continue using fidelity measures such as TFI or BOQ.
  • Share and discuss data with all stakeholders.
  • Complete the session survey/evaluation.
  • Prepare for the next session on PBIS practices after the break.