Midwinter Inservice January 18, 2013

A WORD FROM OUR LEADER

Survey Data Packets An Explanation from our Data Expert Melissa Engel

This is what our raw data looks like…

And after the magic of the chart wizard….. Totals represent all 4’s, 3’s, 2’s, 1’s in that indicator.

1.1 The agency engages in a systematic, inclusive, and comprehensive process to review, revise, and communicate an agency purpose.

Let’s Take A Look! Form groups of five Each group member reviews one of the five standards Summarize your review to your group Large Group Debrief –One finding that: surprises you challenges you warms you

Break Time

Review Stage 1: Ask Good Questions Focus Area Examples: “Improve Student Achievement” “Improve Communication to Stakeholders” “Improve School Needs Assessment Process”

Review Stage 1: Ask Good Questions Ask questions that… data can answer are measurable we can do something about align with the Focus Area are clear

Review Stage 1: Ask Good Questions Three Types of Questions Descriptive Relational Causal

Review Stage 1: Ask Good Questions Broad vs. Sufficiently Narrow Include: Who, What, When

Types of Data Demographic Data Perceptual Data Performance Data –Achievement –Outcomes Program Data

Demographic Data Includes descriptors of organizations and descriptors of students Used to disaggregate focus data –Allows us to answer questions about subgroups –Allows us to answer questions about equity. –Helps us to focus later actions

Perceptual Data Includes observation data as well as stakeholder surveys & questionnaires Used to show correlations between perceptions and the question for inquiry This data is often gathered after the question for inquiry is developed to insure a direct correlation between the data and the question. Do Not underestimate the validity and importance of perceptual data

Performance Data: Achievement Includes state assessments, district assessments, CBM’s, benchmark assessments, grades, and GPA’s. Used to improve or measure student achievement Be careful to avoid overreliance on any single source of achievement data. Validate achievement data by using more than one source.

Performance Data: Outcomes Includes any data that measures final results or conclusions: graduation rates, dropout rates, mobility rates, suspensions, expulsions, behavior rates, remediation rates, college acceptance, attendance, career readiness, long term career achievement or milestones. Useful for determining if a variable has an effect during a specific time period or at the end point of their education.

Program Data Includes descriptive data about how education and related activities are conducted within the organization: professional development, schedules, the physical setting, policies and procedures. Useful for considering the effects that systemic factors have on specific outcomes

Stage 2: Find Trends & Make Observations

AdvancED: What’s Next? Collect data based on your Data Action Plan and your Focus Questions. Bring this data to our next work day, May 15, At this session, you will learn to analyze, interpret, and display your data. You will be receiving bi-monthly to monthly reminders to complete your data collection throughout the semester.

LunchLunch Literal Field Trip