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Whole Child Data

Whole Child Data

Data-Driven Decision-Making

Data-driven decision-making allows for past, present, and future understanding of data trends. It uses relevant information for the decision-maker to guide practice, improvement, or outcomes. It involves understanding the target population and audience, using multiple data sources, and continuously improving to learn what is going well and what needs more work to support the whole child.

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What is Whole Child Data?

Whole Child data combines traditional academic and non-academic metrics to support student well-being and achievement. It contains information and understanding of necessary skills and knowledge for student performance, academic achievement, ability to advocate for self and others, healthy relationships, and critical thinking skills. Data may be gathered via surveys, observations of climate and culture, screening and assessments, and other data collection tools.

Academic data may include

  • Proficiency
  • Growth
  • Graduation rates
  • English learner progress
  • Classroom assessments
  • Report cards

Non-academic data may include

  • Health and well-being
  • Perception
  • Social-emotional competencies
  • Discipline referral systems
  • Absenteeism 
  • Climate and culture
  • Programs, policies, practices, and procedures

Why Whole Child Data?

We better understand our current student and school needs when we bring academic and non-academic data together. Using multiple data sources allows for a more well-rounded and robust data dive.

  • Promote academic success
  • Increase positive behavior
  • Reduce risk factors and potentially harmful behaviors
  • Increase protective factors
  • Create a safe learning environment
  • Identify the needed & appropriate programs, practices, policies, and procedures
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Need Help?

Trained consultants are available to assist you with your Whole Child data needs. Our work can support you throughout each step of the data process. Using an intake process, we can assess your needs and the best way(s) to meet those needs. Using your data, we can guide you and connect you with the consultants, learning, and resources targeting your needs.

Data assistance includes

  • Developing vision and mission statements to guide your work
  • Initiative inventories
  • Needs assessment
  • Data visualization
  • Gathering student voice
  • Surveys
  • Walkthrough observation
  • Focus groups
  • Interviews
  • Team or individual data dive'
  • MiCIP and other continuous improvement needs
  • Michigan Profile for Healthy Youth (MiPHY)
  • CASEL Framework
  • Social-emotional screeners
  • And more!

State and National Data Sources