Data-Based Decision Making
Data-based decision making provides grounding in empirical evidence and system alignment across people and programs, so that all are pulling toward shared goals. It disaggregates data to evaluate the outcomes for each student population so that inequity can be identified and addressed proactively. This increases the likelihood that decisions that are in the best interest of the students that schools serve. MnMTSS promotes a problem-solving approach in which problems are precisely defined and analyzed, solutions address root causes, and implementation is monitored to ensure success. The data-based problem-solving component of the MnMTSS framework consists of three major subcomponents: accessible and integrated data, decision-making process, and system performance.
Each heading has a link.
Data System Integrates Academic, Behavioral, and Demographic Information for Analyzing Equity Questions and To Illuminate Where Support Resources Need to Be Applied
Data System is Accessible to Those Who Require It for Making Educational Decisions
Educators and Caregivers Have a Shared Understanding of Data That are Collected and How They are Used in Decision-Making
Decisions Are Made by Teams Composed of People with Appropriate Expertise and Authority to Make and Carryout Effective Plans
Problems Are Clearly Defined
Problems Are Analyzed and Likely Root Causes Hypothesized
Concrete Solutions Are Planned and Carried Out
Outcomes That Result from Implementation Are Evaluated and Adjustments Are Made from That Evaluation Fidelity: The District MnMTSS Team Monitors and Improves Implementation
Decision-Making Process Is Evaluated and Improved
Concrete Solutions Are Planned and Carried Out
Resource Are Allocated Based on Data-Based Team Decision
