AP Data-Driven Decision Making Flashcards
6 cards from real AP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 AP Data-Driven Decision Making flashcards as text
Which of the following is an example of leading indicator data for a school improvement team?
Answer: Weekly attendance rates and early warning system flags
Leading indicators like weekly attendance and early warning flags predict future outcomes in time to intervene.
A school improvement plan identifies chronic absenteeism as a priority. Which data analysis approach is MOST useful?
Answer: Identifying which student subgroups, grade levels, and time periods show highest absence rates
Detailed disaggregation by subgroup, grade, and timing pinpoints who needs support and when, enabling targeted outreach.
An assistant principal wants to build staff capacity for data analysis. The BEST professional development approach is:
Answer: Facilitating structured data inquiry protocols during collaborative planning time
Structured data inquiry protocols build teachers' skills to analyze and act on data themselves, creating sustainable capacity.
When presenting student achievement data to teachers, an assistant principal should MOST importantly ensure that:
Answer: Data is connected to specific instructional implications and next steps
Data without actionable implications rarely changes practice; connecting data to next steps makes it useful for instruction.
Which process describes the school improvement cycle used in most US school accountability frameworks?
Answer: Identify needs → Plan → Implement → Monitor → Evaluate
The continuous improvement cycle— identify, plan, implement, monitor, evaluate — is the standard framework underlying most US school improvement models.
An assistant principal discovers that discipline referral data shows Black male students are referred at three times the rate of their peers. The MOST appropriate response is:
Answer: Launch a root-cause analysis examining teacher referral patterns, disciplinary definitions, and cultural factors
Disproportionate discipline data requires a root-cause analysis of systemic factors before conclusions or actions are determined.