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CESA 7 Data Retreat Participants Guide

Step 2: Collect and organize the data


Collecting data should be a planned, purposeful process that results in valuable data that will guide the school improvement team in developing goals for improvement for the benefit of all students. Not all data may be relevant so care needs to be taken in collecting that which will be helpful.

Generally speaking, school data can be grouped into four categories:

  • Student achievement - how well are the students learning
  • Demographic - who are students in the school
  • Education program - who are the teachers in my school and what is the curriculum
  • Perceptions - how do people feel about the school

    Student achievement data

    Student achievement data is that information that conveys how well students are doing. Achievement information is gathered from a variety of sources; some of it is through state measures, others are through local measures. Multiple measures of student achievement create a clearer, more accurate picture of student achievement.

    Guiding questions in the collection of data are -

    • What evidence can we collect of our students' learning?
    • What knowledge, skills, and processes have our students achieved?
    • To what levels of academic proficiency have our students achieved?

    Examples of student achievement data are -

    • WKCE Administrator's Interpretive guide
    • WKCE School Proficiency Summary (new revised for 98-99)
    • WKCE Objectives Performance Summary
    • WKCE Item Analysis Summaries for Selected Response and Constructed Response Items
    • WKCE Writing Frequency Distribution
    • WKCE School Record Sheet
    • WRCT Test Results Interpretive Guide
    • WRCT Student Roster
    • Other District Standardized Test Results (e.g. TerraNova, ITBS, ACT, SAT)
    • District Created Assessments (e.g. Criterion-referenced tests, writing assessments)
    • Performance Assessment Results
    • Portfolio Summaries
    • Report Card Grades
    • Alternative assessments data
    • IEP (especially students exempted from standardized assessment)
    • Other student achievement data

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    Demographic data

    Schools must carefully track their customer base and come to know them completely. When determining which demographic data to collect, the goal is to thoroughly know your population in the schools. Demographic data should be viewed longitudinally so that trends can be viewed, and predictions made. Data from previous years should be organized in a manner that will facilitate comparisons from year to year.

    Data should be collected that shows who enrolls in the schools; the mobility patterns in and out of grades and schools, the neighborhoods and their relationships to the school; how transportation affects student performance; personal and family issues that affect student performance; the rate of enrollments in special programs; and, data about the behavior and social problems of students.

    Guiding questions in the collection of demographic data are -

    • Who are our students?
    • What trends do we see?

    Examples of demographic data are -

    • Attendance reports
    • Truancy reports
    • Transportation information (students who travel long distances)
    • Students with disabilities
    • Gifted and talented lists
    • LEP lists
    • Suspension and Expulsion
    • Number of free and reduced lunches
    • Migrant rates
    • Homelessness
    • School-age parents
    • Behavior/Social Problems (referrals)
    • Other

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    Educational program data

    Educational program data is information that profiles the enrollment in the school's programs and courses. Educational program data provides information related to the school's curriculum and the teachers and other staff who work in the building.

    Guiding questions in the collection of program data are -

    • How successful are the programs in bringing about the academic excellence articulated in the standards?
    • What are the course enrollments?

    Examples of educational program data are -

      Student Program Data
    • Course enrollments - course sequences
    • Alternative program data - enrollments in alternative programs, like alternative high schools, or other special programs at alternative sites
    • Work based learning program data
    • Graduation rates
    • Post graduation data
    • Preschool program data
    • "Wisconsin School Report Card" Data (number of AP courses, attendance rates, etc.)
    • Enrichment program information
    • Special education program information
    • Extra-and co-curricular participation (i.e. athletics, clubs, VSO, community service)
    • Other student program data

      Instructional Program Implementation Data
    • Program evaluation data
    • Student/Teacher ratio
    • Number of instructional aides
    • Parent/community volunteer data
    • Teacher credentials data
    • Teacher attendance data
    • Teacher licensure data
    • Data regarding teacher participation in professional development
    • Curriculum implementation data
    • Data about the implementation of textbooks and other resources
    • Number and types of field trips
    • Strategic plan information
    • Other implementation data
    • Other

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    Perceptions data

    Perceptions data is used to gather information regarding customer satisfaction. School customers include students, parents, teachers and staff, community members, colleges and universities, and the school board. Perceptions data collection should be orchestrated to provide an honest portrayal of the school's climate. The data, often seen as intangible, but clearly perceived by customers, can be collected in creative ways. Surveys, polls, even analyses of newspaper editorials and letters can reveal a school's climate.

    Guiding questions in the collection of perceptions data are -

    • How do our customers feel about our school?
    • How satisfied are our customers about our educational programs?

    Examples of perceptions data are -

    • Teachers attending professional development data
    • Parent surveys
    • School safety data
    • Student wellness
    • Equity survey data
    • School climate data
    • Harassment, complaints data
    • Other

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