data disaggregation: for data driven decision making
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Data Disaggregation: For Data Driven Decision Making. By Ron Grimes: Special Assistant to the Assistant Superintendent Office of Career and Technical Accountability & Support. What is “data disaggregation” and why should we use it?. Simple definition: - PowerPoint PPT PresentationTRANSCRIPT
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Data Disaggregation: For Data Driven Decision Making
By Ron Grimes:Special Assistant to the Assistant Superintendent
Office of Career and Technical Accountability & Support
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What is “data disaggregation” and why
should we use it?
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Simple definition:
Looking at data (test scores, etc.) by specific
subgroups.
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Data Types
Demographics
Perceptions
Student Learning
School Process
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Ways that CTE can Disaggregate
• Gender• Concentration• WorkKeys data• Global 21 Performance Assessment
Data• Placement• Enrollment in concentrations• Stakeholder satisfaction• Return on Investment
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CTE Data Concept Map
STUDENTLEARNING
Portfolios
WESTEST
CSO Profiles
Global 21 CTE
Performance
Projects
Work Keys Rubrics
Additional
Brainstorm Examples
Formative Assessments
CTSO State
Performance
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Ways to Disaggregate
• There a several ways to disaggregate student learning data:– For example:
• Gender• Socio-economic status• Mobility (students moving between schools)• Race & ethnicity• Students with special needs• English as a Second Language (ESL)• Successful completion of a course(s)
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Examples of Data Disaggregation
• WorkKeys Assessment DataWhy is there a Zero in math?
Does this score represent
SWD?
Are the LI scores
improving?
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Examples of Data Disaggregation
• Global 21 Performance Assessment Data
Which concentrations have the best
results?
Which concentrations did not meet
standard?
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Important Questions
• There are important questions that student learning data disaggregation can answer. – For example:
• Is there an achievement gap among our students?
• Is that gap growing or shrinking?• What do enrollment levels in particular
concentrations tell us?• Are students with special needs adequately
represented?
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Data & Confidentiality• Be careful about the data you have access
to and its security. FERPA guidelines are very specific regarding specific types student data and its security.
• Any testing data that includes identifying information or information regarding exceptionality, socio-economic status, etc. cannot be use publicly and limited access can only be granted for professional use only.
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CTE Data Concept Map
SCHOOL PROCESSES
CTSO
Interventions
Counseling
Global 21 CTE
Performance Process
Project-based Learning
Work Keys Process
Strategic Plan
Additional
Brainstorm Examples
Professional
Development
Discipline
LEA
Advisory Council Strategies
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Ways to Disaggregate Process Data
• There a several ways to disaggregate process data:– For example – LEA Process – Database for Composite &
Individual School/County analysis:
• Use of Perkins funds• Programs of Study• Academic and Technical Skill strategies• Professional Development• Methods of Consultation• Program Evaluation methods• Access• Non-traditional preparation• Career Guidance & Academic counseling
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Process DataLEA Plan Analysis
Agency4
3.45%
Business/Industry
4337.07%
Education45
38.79%
Higher Ed.2
1.72%
Parent3
2.59%
Student7
6.03%
*Undetermined12
10.34%
CRAFT Advisory Council Members
LEA Plan Data 2010-2011
116 Advisory Council Members
Agency6
3.43%
Business/Industry
12169.14%
Education30
17.14%
Higher Ed.5
2.86%
Parent2
1.14%Student
52.86%
*Undetermined6
3.42%
CRAFT Advisory Council Members
LEA Plan Data 2010-2011
175 Advisory Council Members
* = Reported but no information provided to determine type
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Important Questions
• There are important questions that process data disaggregation can answer. – For example:
• Does the use of WIN as an academic technical skill strategy impact Work Keys scores?
• How many schools are implementing academic integration workshops?
• Is there an increased placement percentage with schools that offer industry credentials?
• How many advisory council members represent business/industry in the state.
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CTE Data Concept Map
PERCEPTIONS
Parent Surveys
Teacher Surveys
Administration
Surveys
Advisory Council
Surveys
Task Forces
Student SurveysInterviews
Additional
Brainstorm Examples
Observations
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Ways to Disaggregate
• There a several ways to disaggregate perception data:– For example:
• Student needs• Stakeholder type• Concentration • Teacher• Compare “satisfaction” rating with
performance
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Important Questions
• There are important questions that perception data disaggregation can answer. – For example:
• Why are students enrolling in particular concentrations?
• What trends are identified in the labor market based on advisory council surveys?
• How satisfied are our stakeholders (measurable for trend analysis)?
• What strategies for improvement do the stakeholders suggest?
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CTE Data Concept Map
DEMOGRAPHICS
Attendance
Discipline Incidences
Enrollment
Gender
Ethnicity
Free & reduced lunch
status
Concentrations
Additional
Brainstorm Examples
Drop out rates
College going rate
Placement
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Ways to Disaggregate
• There a several ways to disaggregate demographic data:– For example:
• Gender• Socio-economic status• Mobility (students moving between schools)• Race & ethnicity• Labor market data• County educational attainment• Postsecondary education completion data
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Important Questions
• There are important questions that demographic data disaggregation can answer. – For example:
• What percentage of students are enrolling in postsecondary education and graduating?
• Is there a decline in the county population?• What adult concentrations would benefit the
community based on labor market data?
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Other Important Questions
• Disaggregated data can also tell you whether student mobility, professional development of teachers, or parental involvement is affecting student performance.
• Data can zero-in on information at the school level, the classroom level, the teacher level, the instructional level, etc.
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EXCITING NEW DATA TOOLS
•Data Profile – Longitudinal Data•Online LEA Plan- user friendly•Promising/Best Practices Guide•State-wide Perception Surveys and Analysis•CTSO Results & Performance Analysis•Technology Resources – Usage & Impact on Performance
We analyzed the May 2011 Administrative Conference Surveys and listened to your needs:
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Questions?