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DAC Data Analytics

DAC Data Analytics. Using State and Local Data to Improve Results. DAC GOAL. Form partnerships in states that join state and local agencies in the use of data to drive improved results. Premises. Data Use involves: Working through a Collaborative Team approach.

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DAC Data Analytics

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  1. DAC Data Analytics Using State and Local Data to Improve Results

  2. DAC GOAL Form partnerships in states that join state and local agencies in the use of data to drive improved results

  3. Premises Data Use involves: • Working through a Collaborative Team approach. • Engaging Team in a Continuous Improvement Process. • Relating the Data to specific Problem/Issue. Using Data is an Iterative Process!

  4. Why Data Analysis?

  5. Proactive Versus Reactive

  6. Preparation PhaseStep 1: Identify Relevant Data Module 1 - Identify relevant data to define/refine problem • Provide overview of data quality standards • Demonstrate how to visually represent data • Review available data • Identify relevant data based on defined/refined problem

  7. Inquiry PhaseStep 2: Conduct Data Analysis Module 2 – Conduct data analysis to generate hypothesis • Review relevant data • Define hypothesis • Analyze data • Develop analysis plan

  8. Inquiry PhaseStep 3: Test Hypothesis Module 3 – Test hypothesis to determine root cause(s) • Triangulate data • Discuss how to test hypothesis • Determine root cause(s)

  9. Action PhaseStep 4: Plan for Improvement Module 4 – Improvement planning • Discuss goal setting • Review basic components of an improvement plan • Give examples of good v. unacceptable components of improvement plan • Develop improvement plan

  10. Action PhaseStep 5: Evaluate Progress Module 5 – Evaluate progress • Discuss evaluation types, performance data & measures • Differentiate between efforts v. effects

  11. Infant & Toddler Connection of Virginia Data Analysis for System Improvement

  12. Data Quality Standards Useful Timely Accurate (Reliable and valid) Secure Question: How do we know if we are using high quality data? Answer: Data collected, submitted, analyzed, and reported must be:

  13. Steps in Preparation

  14. Collecting the Available Relevant Data What data are available related to the issue? State? Local? Other data sources? How many years of trend data should be reviewed? What data should be included for comparison purposes? State ? Other locality data? How can the data be disaggregated? By age of child? By service coordinator? By a time period? Do we have qualitative as well as quantitative data that relate to the issue?

  15. For easy analysis how should the data be displayed? Possible ways to display data include: • Column charts • Bar charts • Line charts • Pie charts • Maps

  16. Begin with Setting Guidelines

  17. Generating a Hypotheses

  18. Generating Hypotheses

  19. Hypothesis Testing Guiding Questions • What procedures might have contributed to current performance? • Is there any information that would lead us to reject or accept each hypothesis? • Given our data picture, are there any other possible explanations we might pose? • What data if any, do we still need to collect to determine our actionable causes.

  20. Analysis involves organizing and understanding data based on criteria you develop; it is useful when you want to find some trend or pattern. Source: Purdue Online Writing Lab

  21. Determining the Actionable Causes: Helps resolve the issue Eliminates meaningless effort Conserves resources Identifies efficient and effective strategies Leads to Improvement

  22. The Data Analysis Process

  23. The Data Analysis Process

  24. The Data Analysis Process

  25. “I’ll pause for a moment so you can let this information sink in.”

  26. Discussion Questions What approaches or methods are you using at the state level to analyze your child and family outcome data to improve results for children and families? Can you share any lessons learned? Are you working with local programs to assist them in using outcome data to consider how quality practices impact child and family outcome results? If so, describe the process or tools you use to help locals examine data and practices to make changes for improvement.

  27. Discussion Questions How might the DAC data analytic model or the Relationship of Quality Practices to Child and Family Outcome Measurement Results tool help you with these efforts? What additional information or technical assistance would be beneficial?

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