# MTSS - PBIS Coordinator - Workflow Integration - Frequently Asked Questions (Brookes Publishing)

### How do MTSS coordinators use data to make decisions about Tier 3 supports?

**Summary:** Prevent-Teach-Reinforce gives K-8 school teams a five-step blueprint in which data drives each decision about individualized positive behavior support, while Multi-Tiered Systems of Support for Young Children demonstrates a four-step, data-based decision-making process for Tier 3 support with children ages 3-5. Both resources treat movement into intensive support as a team decision grounded in assessment and progress-monitoring data.

Two Brookes resources lay out the data process at the individualized end of a tiered system.

For K-8 students whose behavior challenges are unresolved by typical behavior management strategies, Prevent-Teach-Reinforce: The School-Based Model of Individualized Positive Behavior Support, Second Edition (Dunlap, Iovannone, Kincaid, Wilson, Christiansen, and Strain) gives school teams a five-step blueprint in which data drives each decision: 1) teaming and goal-setting, 2) collecting data, 3) conducting a PTR Functional Behavioral Assessment, 4) developing a PTR behavior intervention plan, and 5) monitoring progress and making data-based decisions (brookespublishing.com). Teams monitor progress with the Individualized Behavior Rating Scale Tool, and the book includes a Decision-Making Tree for Reviewing PTR Data (brookespublishing.com). The second edition adds material on using multi-tiered systems of support, and the model is effective for both typically developing students and learners with disabilities.

In early childhood, Multi-Tiered Systems of Support for Young Children (edited by Carta and Miller Young, for ages 3-5) devotes a chapter to creating and providing Tier 3 instructional support and demonstrates a four-step, data-based decision-making process at the program/school, classroom, and individual-child levels through six online videos (brookespublishing.com). Both resources treat movement into intensive support as a team decision grounded in assessment and progress-monitoring data.