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Data-Driven Decision Making Flashcards

6 cards from real CPACE practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 6 Data-Driven Decision Making flashcards as text

  1. A California school in the 'Differentiated Assistance' category under LCFF is required to:

    Answer: Work with the county office of education to develop an improvement plan

    Differentiated Assistance connects underperforming schools with county office support to collaboratively develop targeted improvement strategies.

  2. When presenting school data to the School Site Council, a principal should:

    Answer: Present comprehensive, honest data with context and proposed action steps

    Transparency with context and action steps demonstrates integrity and enables the SSC to fulfill its advisory role in school improvement.

  3. California's Smarter Balanced Assessment Consortium (SBAC) reports results using which scoring system?

    Answer: Four performance levels: Standard Exceeded, Standard Met, Standard Nearly Met, Standard Not Met

    SBAC reports in four performance levels that describe the degree to which students have met California's Common Core State Standards.

  4. A school leader is reviewing data showing disproportionate special education identification rates for students of color. The MOST appropriate first step is to:

    Answer: Conduct a systematic review of referral, evaluation, and placement practices for potential bias

    Disproportionality requires examination of systemic factors in referral and placement processes to identify and address potential racial bias.

  5. Using data to inform resource allocation decisions under LCFF requires school leaders to:

    Answer: Target supplemental and concentration grant funds toward the students and goals identified in the LCAP

    LCFF supplemental and concentration funds must be directed toward goals, actions, and services in the LCAP that address the needs of high-need student groups.

  6. A data inquiry protocol that moves from 'what do we see in the data?' to 'what does it mean?' to 'what will we do?' is an example of:

    Answer: A structured data-driven dialogue or inquiry process

    Structured data inquiry protocols guide teams through observation, interpretation, and action-planning phases to move from data to evidence-based decisions.