Friday, April 30, 2010

Data Analysis / School Improvement

This month’s blog focus is data analysis. Intern principals Michelle Kefford and Thomas Schroeder have researched and presented information for our blog readers. Please take the time to read the blog below and review the resources and post your thoughts and/or strategies for utilizing data effectively.

Data analysis is nothing new, continuous school improvement is embedded in all aspects of school operations. Being in the “know” regarding student achievement data is critical to school success and has lasting implications on the overall character and reputation of a particular campus.

Everyday as administrators, we are faced with a multitude of data points and information being presented regarding programs, departments, grade levels and individual students. This data can be both qualitative and quantitative in nature and topics vary from school lunch wait times, customer survey satisfaction, to proficiency attainment of standardized assessments. The important aspect to glean regarding data analysis is the need for a systematic process for interpreting and utilizing data sources to make informed and sound judgments. In any process, it is vital that these efforts are both collaborative and reflective. According to the “Guide to Using Data in School Improvement Efforts”, combining these two elements, referred to as reflective collaboration, is a powerful process that occurs among staff and other members of the school community. The guide outlines the importance of designating time and structures for utilizing data. This includes embedding the process throughout all aspects of school operations; in faculty meetings, staff meetings, grade level/department meetings, professional learning community meetings, and parent/community group meetings.

The Florida Continuous Improvement Model begins with data disaggregation which seeks to answer questions such as: “What are the weakest areas?”; “What are the strongest areas?” and “What are patterns/trends?” From this utilization of data, there is the establishment of priorities and the development of an effective plan based on the standards.


One core belief regarding the utilization of data for school improvement is that student learning can and should improve on a continuous basis. It is essential that educators continually reflect on the quality of programs being implemented and interventions being employed. This process should be cyclical and continuous with concentration on the process, not any specific results.


Some basic guiding questions for collecting student achievement data can include:
  • What evidence can we collect about our students’ learning?
  • What evidence do we have that shows the knowledge, skills, and understandings our students have achieved?
  • Which data indicates the degree to which our students show the conceptual understandings and generalizations in our standards?
  • What evidence shows which students are meeting or exceeding our achievement expectations and which are not?
  • What do we know about how each individual student learns?
Typically, student achievement data is reported for whole populations, or as aggregate data. It is not, however, until the data are disaggregated, that patterns, trends and other important information are uncovered. Disaggregated data simply means looking at test scores by specific subgroups of students.

Here are several different ways to disaggregate data:
  • Gender
  • Socio-economic status
  • Mobility (students moving in an out of the districts at any given time)
  • Race and ethnicity
  • Special education and disability
  • English as a Second Language (ESL)
  • Enrollment patterns in courses like physics or algebra
  • Successful completion of specific course such as advanced placement
Each specific campus and school has a process for utilizing data sources, analyzing such information and enacting school reform based on the patterns identified and/or observed. The important common thread noted in a variety of professional materials is the essential element of involving all stakeholders and continually reflecting on whether what is being done is best for our children.

2 comments:

Denise Lawrence said...

The accountability of student achievement that exists today for all educators and administrators is very evident in today's world. Currently working in a school with fairly new teachers with 3-5 years of experience can be quite challenging especially with the presence of departmentalization. As a member of the leadership team, we took a more different approach with our data chats. We began to simplify the FCIM for teachers with PowerPoint presentations looking at each component individually: overall school performance, grade level performance, and classroom performance. This component takes a lot of practice but it empowers our teachers to take full ownership of their data. We open our data chats with the teacher facilitating, by identifying the trends whether positive or negative, providing the instructional strategies that will be implemented by them, and providing a rationale to their student data results. It's all about OWNERSHIP.. OWNERSHIP.. OWNERSHIP..

Alisia said...

Accountability is here to stay. The year starts with data chats with teachers, identifying the sub-groups in their individual classes. The next step is to identify the skills the students need based on the prior school years data. The next round of data chats occur after BAT I with monitoring of skills taught along the way. When the BAT II data is disaggregated , I look for historical data trends. After Christmas, the big data push occurs with a PowerPoint for the entire staff to get everyone excited about achieving the schools data goals. Each teacher then has an individual data chat to discuss how he or she plans to work with their students to accomplish their class data goals. At the end of the year the support staff and leadership team will disaggregate the FCAT data and the fun for the next year begins all over.