Stanford 10 Longitudinal Data Analysis Tutorial.pdf - Alex

Longitudinal Data Analysis questions:
These questions can be used to help study the graphs and to draw purposeful conclusions from the
information represented in the data and graphs. NEXT STEPS ARE AN IMPORTANT PART OF THE
LONGITUDINAL DATA ANALYSIS AND SHOULD NOT BE LEFT OUT OF THE PROCESS.
Longitudinal Data: Guiding Questions:
What do you notice?
What are our “holes” in the curriculum?
What time of year are these standards normally taught?
What resources do you use when teaching these standards?
Are you teaching the standards how they are tested? (Are you aligning instruction and practice with
the Item Specifications?)
From the identified strengths and weaknesses, next steps are created to address the weaknesses.
Next Steps:
Talk with your grade level and/or content cohorts about the following:
o Instructional strategies focused on engaging students
o Resources that align with the Item Specifications
o Intervention for non-mastery students
Develop a grade level and/or a department plan of action to improve student learning based on
your longitudinal data analysis.
o Pacing of standards
o Resources
o Method of instruction/strategies
o Alignment to Item Specifications
o Intervention
o Other data (student/teacher attendance, discipline referrals, grade level/departmental
planning, common assessments, etc.)