dac data analytics
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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. - PowerPoint PPT PresentationTRANSCRIPT
DAC Data AnalyticsDAC Data AnalyticsUsing State and Local Data to Improve Using State and Local Data to Improve ResultsResults
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.• Engaging Team in a Continuous
Improvement Process.• Relating the Data to specific
Problem/Issue.
Using Data is an Iterative Process!
Why Data Analysis?
Proactive Versus Reactive
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
Inquiry PhaseStep 2: Conduct Data Analysis
Module 2 – Conduct data analysis to generate hypothesis• Review relevant data • Define hypothesis• Analyze data• Develop analysis plan
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)
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
Action PhaseStep 5: Evaluate Progress
Module 5 – Evaluate progress• Discuss evaluation types, performance data &
measures• Differentiate between efforts v. effects
Infant & Toddler Connection of Virginia Data Analysis for System
Improvement
Data Quality Standards
Question: How do we know if we are using high quality data?
Answer: Data collected, submitted, analyzed, and reported must be:
TimelyAccurate
(Reliable and valid)
Secure
Useful
Steps in Preparation
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?
For easy analysis how should the data be displayed?
Possible ways to display data include:
Column charts
Bar charts
Line charts
Pie charts
Maps
Begin with Setting Guidelines
Generating a Hypotheses
Generating Hypotheses
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.
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
Determining the Actionable Causes:
Helps resolve the issue
Eliminates meaningless effort
Conserves resources
Identifies efficient and effective strategies
Leads to Improvement
The Data Analysis Process
The Data Analysis Process
The Data Analysis Process
“I’ll pause for a moment so you can let this information sink in.”
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.
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?