SLDS Webinar 8-28-14 1 The presentation will begin at approximately 1:00 p.m. ET Information on joining the teleconference can be found on the “Info” tab in the upper left of this screen. Be sure to use the “Attendee ID” number on the Info tab when dialing in to associate your name with your phone. In order to cut down on background noise, please mute your phone by dialing *6 upon entry into the meeting. During the question and answer portion of this presentation: • You can re-enter *6 to un-mute your phone and ask a question; or • Type your question into the Q&A panel below the participant list and clicking “Send”. A copy of this presentation and a link to the recording will be shared with the IES Grantees and EIMAC listservs. Linking K12 Education Data to Workforce
Transcript
1SLDS Webinar 8-28-14
The presentation will begin at approximately 1:00 p.m. ET
Information on joining the teleconference can be found on the “Info” tab in the upper left of this screen. Be sure to use the “Attendee ID” number on the Info tab when dialing in to associate your name with your phone.
In order to cut down on background noise, please mute your phone by dialing *6 upon entry into the meeting.
During the question and answer portion of this presentation:• You can re-enter *6 to un-mute your phone and ask a question; or• Type your question into the Q&A panel below the participant list
and clicking “Send”.
A copy of this presentation and a link to the recording will be shared with the IES Grantees and EIMAC listservs.
Linking K12 Education Data to Workforce
2
Panelists• Kate Akers, Acting Executive Director, Kentucky Center for
Education and Workforce Statistics• Karen Jarboe Singletary, Senior Research Analyst,
Communications & Research, Idaho Department of Labor
Agenda• What has been linked and how• Best practices and lessons learned• Questions from participants
SLDS Webinar 8-28-14
Linking K12 Education Data to Workforce
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Kentucky Center for Education and Workforce Statistics
(KCEWS)
Linking K12 Education Data to Workforce
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• Independent state agency charged with maintaining the P-20 SLDS and measuring and evaluating education and workforce at all levels
• Legislatively authorized to collect data from all education and workforce programs
• Created in December 2012 by Executive Order and ratified into law in 2013 legislative session
• Builds upon the work of the P-20 Data Collaborative (since 2009)
BoardEducation & Workforce
Development Cabinet Secretary (CHAIR)
KDE Commissioner
CPE President
EPSB Executive Director
KHEAA Executive Director
What Is the Center?
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• Evaluate education and workforce programs statewide
• Develop state-level metrics• Monitor privacy, confidentiality, and data quality• Better inform policy makers and stakeholders• Kentucky Longitudinal Data System (KLDS)
What Is the Center Tasked to Do?
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The Kentucky Longitudinal Data System
De-Identified Warehouse
EPSB
CPE
KDE
UI
EC
WIA
Data RequestsWhat If’s
Policy
Eval’s
Analyses
Reports
Identity Resolution/Assignment
And Cleaning
• By linking individual pieces together, we can see a more complete picture of public policy.
• The state does not think of itself as individual pieces but as a whole.
K-12
COLLEGE
WORKECONOMY
Why Link K12 and Workforce Data?
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• As data come in from all the various sources, they are matched through multiple levels, including fuzzy logic on agency IDs, SSNs, names, and birth dates, depending on the demographics each agency provides
• The “best” and/or latest cumulative data for each person is housed in a master person table
• Workforce provides only SSNs and partial names, so SSNs are used exclusively to link back to the master person table
How Did We Link?
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• Employment data are available from the UI wage reports made by employers which includes about 90 percent of all people employed in Kentucky
• Limitations of the data:o Only includes people employed in-state (adding out-of-state Fall ‘13)o Does not include federal or military employees (adding federal Fall ’13)o Only provides quarterly wage data by industry and employer location – not
occupations and not *where* they work but where their employer’s central office exists
• More detailed employment data are available from K-12 teachers and staff and adult education staff and those who are making unemployment insurance claims
Challenges and Caveats
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• Use employment data as outcomes for education and training programs
• Inform educators about program need, demand, and what students should expect about employment location and potential wages
• Indicator of the need for new academic programs• Indicator of out-of-state migration• Work toward understanding the alignment between
education production and workforce needs• Provide return on investment• Federal reporting
Stakeholder Engagement:Why Link Data?
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• Grads not attending college earned: o $7,567 one year out o $11,511 three years out
• Two out of three graduates were earning less than full-time minimum wages
• Females earned 70 percent of males, three years after high school
• African Americans earned 30 percent less than white students, three years after high school
• Grads with 20 or more unexcused absences in their senior year earned up to 55 percent less than those with 5 or fewer
• 60 percent of grads work in the four lowest paying industries
• People (the public) think in terms of annual salaries not quarterly earnings, so we sum four consecutive quarters (FY)
• Matching can be complicated because UI only has SSN and parts of names
• Some “phantom” records showed up for people with no earnings at all—we exclude them
• Some employers have multiple work sites all over a state but will report all employees based on the central administration location (it can be difficult to identify work sites for state employees)
• Some people do have multiple employers in a quarter and we summed all wages from all sources (like the Census and IRS)
• MOU process
Lessons Learned
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Kate Shirley Akers, Ph.D.Acting Executive Director
Kentucky Center for Education and Workforce Statistics
• State Board of Education (SBOE)o Overseeing body for all public
education in Idahoo Recipient of 2012 SLDS grant
• State Department of Education (SDE)o K12 education in Idahoo 2009 SLDS grant
• Idaho Department of Labor (IDOL)o Sub-grantee for 2012 SLDS grant
• Idaho Department of Transportation (DOT)o Shared DMV records to facilitate matching
Partners/Stakeholders
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• 60 percent goal for postsecondary credentials adopted by the state
• Lawmakers and public increasingly interested in outcomes data
• Education and workforce had pre-established common goal of evaluating educational program outcomes
• DOT statute expressly allows sharing data to help other state agencies
Common Goals Make Data Sharing Possible
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• Education records have: Name Date of birth Gender Unique student identifier (EDUID) No K12 records have SSN
• Labor records are all indexed to SSN
Need for Matching
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• Records included for all driver’s license and state ID holders
• DMV records have:o Social Security Number (SSN)o Name: First, Middle, Last, Suffixo Any additional AKAs (multiple names, maiden names)o Date of Birth (DOB)o Gendero Last-record update date
Using DMV Records
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• May not be a good representation of some populations (e.g., urban areas, out-of-state college students)
• Match Rateo 90 percent of wage records matched DMV recordso 85 percent match rate anticipated when paired with
education records
Issues with DMV Data
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• Probabilistic matching algorithm
• Developed by SDE with 2009 SLDS grant
• Score given for each matching criteria met
o Set matching thresholds to minimize need for manual intervention
• A common identifier (LABUID) is assigned to facilitate future data retrieval
Name Resolution Engine
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• LABXIDo Temporary UID assigned for initial record matchingo Minimizes transfer of PII
• LABUIDo Permanent UIDo Common identifier for P-20W system
New Unique Identifiers
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SBOE (Postsecondary SLDS)
K12 SLDS (SDE/ISEE)
Postsecondary Institution
SLDS Transfer Site
Labor Longitudinal Data System
2: Assign LABXID
8: Store LABUID
5: Name Resolution Engine--Check for
match in DMV records
Demographic data = Name, alternate names, DOB,
gender
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• Limit transfer of personally identifiable information (PII) between silos
• Partitioned UID system—spread out PII pieces
• Data remains in control of originating organization
• Data access and transfer requires pre-approvalo Aggregate data used when possible
Security and Privacy Concerns
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• Is employment in high school related to college and career readiness? To success in high school?
• What percentage of high school dropouts are employed?
• How long does earning a GED take if employed?
• Is employment status in high school related to employment (time to find a job, wages) after college?
Questions We Can Answer
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• Workforce data currently limited to those covered under UI tax law
