One Voice One Plan MICSI Study Stage Analyze

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One Voice – One Plan MI-CSI: Study Stage Analyze Data Office of Education Improvement

One Voice – One Plan MI-CSI: Study Stage Analyze Data Office of Education Improvement and Innovation

Introduction STUDY Analyze Data Set Goals Set Measurable Objectives Research Best Practices

Introduction STUDY Analyze Data Set Goals Set Measurable Objectives Research Best Practices

Activity: Why, How, What? Take some time to read through and answer these questions

Activity: Why, How, What? Take some time to read through and answer these questions based on your experience with your School Improvement Team in your building. If you are new to the School Improvement Team, use relevant experience to help answer the questions, or if you have no relevant experience, write how you feel it should be done. • • WHY: Why do we analyze the data? HOW: – – • How How WHAT: do we identify student needs? do we use the data analysis to inform what we do? does the vision guide the process? do we assess how our students are doing? – What process do we use to share this info with stakeholders? – What are the student achievement needs? – If your SIT is working through this module together, make sure that there is general agreement on these answers before moving forward in the process.

Study Vocabulary • Comprehensive Needs Assessment (CNA) • School Process Profile (SPP) • Outcome

Study Vocabulary • Comprehensive Needs Assessment (CNA) • School Process Profile (SPP) • Outcome Data • • Demographic Data • Interim Self Assessment (Interim SA) • Perception Data • Process Data • School Data Analysis (SDA) • • Self Assessment (SA) Goal Statement Measurable Objectives Statement

Study: Analyze Data STUDY Analyze Data Set Goals Set Measurable Objectives Research Best Practices

Study: Analyze Data STUDY Analyze Data Set Goals Set Measurable Objectives Research Best Practices

The Big Picture

The Big Picture

Data Analysis School Data Profile School Process Profile

Data Analysis School Data Profile School Process Profile

Multiple Measures of Data Demographics School Processes Student Outcomes Perception Multiple Measures of Data

Multiple Measures of Data Demographics School Processes Student Outcomes Perception Multiple Measures of Data

Analyze Achievement Data 1 How has student achievement changed in the last five years?

Analyze Achievement Data 1 How has student achievement changed in the last five years? 2 When comparing the school with the district and state, which content area would the staff identify as a challenge area for the school?

Analyze Demographic Data 1 What patterns or trends in enrollment need to be addressed?

Analyze Demographic Data 1 What patterns or trends in enrollment need to be addressed? 2 What implications do the data present for the school in the following areas: staffing, fiscal resource allocations, facility planning, parent involvement, professional development, public relations, and/or recruitment?

Analyze Perception Data 1 What are the perceptions of students regarding the quality of

Analyze Perception Data 1 What are the perceptions of students regarding the quality of the instructional program? 2 What are the perceptions of parents regarding support for student learning? 3 What are the perceptions of teachers/staff regarding school climate?

Analyze School Process Profile Data 1 What processes are used to monitor and evaluate

Analyze School Process Profile Data 1 What processes are used to monitor and evaluate the effectiveness of research-based strategies being used in the classroom? 2 How do staff members demonstrate high expectations for all students? 3 Which indicators could your school further develop to improve student achievement?

Summary Questions 1 At what level are our students achieving? How does this compare

Summary Questions 1 At what level are our students achieving? How does this compare to where we want them to be? 2 What factors influence student achievement? 3 What does this information tell us about our greatest area of need? 4 What are the areas of concern over which we have control?

Data Dialogue Data-Driven Dialogue A Facilitator’s Guide to Collaborative Inquiry

Data Dialogue Data-Driven Dialogue A Facilitator’s Guide to Collaborative Inquiry

Activity: Analyzing Multiple Measures of Data • Review the article, “Multiple Measures, ” (PDF)

Activity: Analyzing Multiple Measures of Data • Review the article, “Multiple Measures, ” (PDF) by Victoria Bernhardt paying particular attention to how the analysis of the intersection of multiple measures of data can help to answer specific questions. • After reading the article complete the activities in the attached document (DOC).

Conclusion STUDY Analyze Data Set Goals Set Measurable Objectives Research Best Practices

Conclusion STUDY Analyze Data Set Goals Set Measurable Objectives Research Best Practices