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Data Collection Eric Landers, Ph.D. © E. Landers Consulting Inc, 2017.

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Presentation on theme: "Data Collection Eric Landers, Ph.D. © E. Landers Consulting Inc, 2017."— Presentation transcript:

1 Data Collection Eric Landers, Ph.D. © E. Landers Consulting Inc, 2017

2 Goal: 1.13 Data-based Decision Making Tier I team reviews and uses discipline data and academic outcome data (e.g., Curriculum- Based Measures, state tests) at least monthly for decision-making. 0 = No process/protocol exists, or data are reviewed but not used 1 = Data reviewed and used for decision- making, but less than monthly 2 = Team reviews discipline data and uses data for decision-making at least monthly. If data indicate an academic or behavior problem, an action plan is developed to enhance or modify Tier I supports Tiered Fidelity Inventory (TFI)

3 Effective Discipline Procedures DefinitionsReferral FormData System Referral Process

4 One Importance of Consistency in Discipline? 1. Data answers questions but it does not offer solutions. 1. Identify problems 1. Refine problems 1. Define the questions that need to be answered © E. Landers Consulting Inc, 2017

5 Data-based Decision Making Data is not just to identify the "frequent fliers." Data makes the following possible: 1. Prevention 2. Prediction 3. RtI Identification © E. Landers Consulting Inc, 2017

6 Data-based Decision Making 1. What type of data does the school need to collect? 2. Office Discipline Referrals? Tardies? Detentions? Etc. 3. What type of data will everyone agree to collect? 4. Data collection should take <1% of staff time. 5. What system will the school use? 6. Data system should provide the appropriate summaries to make decisions. © E. Landers Consulting Inc, 2017

7 Rule for Data Use 1. Schedule regular meetings at the beginning of school to review data as a team. 2. Plan times to share data when all the faculty can be present. 3. Set Goals 4. Tasks Evaluate progress toward school-wide goals Identify new hot spots Identify “at-risk” students © E. Landers Consulting Inc, 2017

8 Questions for Data Use 1. Supporting the School Can we predict problems or “hotspots?” Why are these problems occurring? What is a plan to prevent these problems? What is our criteria for success? 2. Keeping the Team Honest and Dependable Are we doing what we said we would do? Have we considered barriers? What do we have to do to make it work? © E. Landers Consulting Inc, 2017

9 Goal: 1.12 Discipline Data Tier I team has instantaneous access to graphed reports summarizing discipline data organized by the frequency of problem behavior events by behavior, location, time of day, and by individual student. 0 = No centralized data system with ongoing decision making exists 1 = Data system exists but does not allow instantaneous access to full set of graphed reports 2 = Discipline data system exists that allows instantaneous access to graphs of frequency of problem behavior events by behavior, location, time of day, and student Tiered Fidelity Inventory (TFI)

10 Our referrals have decreased in the past few years. Pre PBIS - 1234 Referrals Year 1 - 1154 Referrals Year 2 - 875 Referrals Monitor Progress Over Time © E. Landers Consulting Inc, 2017

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13 Quick and Easily Minor Incident Report (MIR) Data Collection Data collection should take less than 1% of a teacher's time. © E. Landers Consulting Inc, 2017

14 MIR Data Collection Rule If you have to significantly alter the social or academic structure of a student.... it probably should be noted to establish patterns. © E. Landers Consulting Inc, 2017

15 Goal: 1.10 Faculty Involvement Faculty are shown school-wide data regularly and provide input on universal foundations (e.g., expectations, acknowledgements, definitions, consequences) at least every 12 months. 0 = Faculty are not shown data at least yearly and do not provide input 1 = Faculty have been shown data more than yearly OR have provided feedback on Tier I foundations within the past 12 months but not both 2 = Faculty are shown data at least 4 times per year AND have provided feedback on Tier I practices within the past 12 months Tiered Fidelity Inventory (TFI)

16 Establish Goals and Objectives Example Objectives 1. By the end of the quarter, fights in the lunchroom will decrease to less than 1 per week. 2. By holiday break, boys on the football team will decrease referrals to the principal from the gym. 3. By end of the year, bus referrals will decrease by 50% 4. By the end of the year, students will attend school at a rate 5% higher than last year. 5. This year, reported incidents of vandalism will decrease by 50% from last year. © E. Landers Consulting Inc, 2017

17 Evaluating Solutions 1. Define the goal for solving the problem. 2. What will ‘it’ look like when you say it is not a problem 3. Define how you will know that the solutions were implemented as planned (with fidelity)? 4. How often will you conduct a status review? 5. Define how you will know that the solutions had a positive effect on student achievement, social competence, and/or safety? 6. How often will you monitor student progress? (Source: www.pbis.org; Horner et al, 2010)www.pbis.org © E. Landers Consulting Inc, 2017

18 1. What data is being collected in your school now? 2. Is it feasible to go paperless with your current program? 3. Make a plan for systematically collecting and distributing data to teachers. Activity © E. Landers Consulting Inc, 2017


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