SLDS Webinar 8-28-141 The presentation will begin at approximately 1:00 p.m. ET Information on...
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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
SLDS Webinar 8-28-141 The presentation will begin at approximately 1:00 p.m. ET Information on joining the teleconference can be found on the “Info” tab
SLDS Webinar 8-28-141 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
Slide 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 2 Linking K12 Education Data to Workforce
Slide 3
Kentucky Center for Education and Workforce Statistics (KCEWS)
SLDS Webinar 8-28-143 Linking K12 Education Data to Workforce
Slide 4
SLDS Webinar 8-28-144 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) Board Education & Workforce Development Cabinet Secretary
(CHAIR) KDE Commissioner CPE President EPSB Executive Director
KHEAA Executive Director What Is the Center?
Slide 5
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) SLDS Webinar 8-28-145 What Is the
Center Tasked to Do?
Slide 6
6 The Kentucky Longitudinal Data System De-Identified Warehouse
EPS B CPE KDE UI EC WIA Data Reques ts Wha t Ifs Polic y Eval s
Analys es Repor ts Identity Resolution/ Assignment And
Cleaning
Slide 7
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 WORK
ECONOMY Why Link K12 and Workforce Data?
Slide 8
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 SLDS Webinar 8-28-148 How Did We Link?
Slide 9
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 employers
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 SLDS Webinar 8-28-149
Challenges and Caveats
Slide 10
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 SLDS Webinar 8-28-1410 Stakeholder
Engagement: Why Link Data?
Slide 11
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 SLDS Webinar
8-28-1411 Stakeholder Engagement: Early Findings
Slide 12
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
allwe 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 SLDS Webinar 8-28-1412 Lessons Learned
Slide 13
Kate Shirley Akers, Ph.D. Acting Executive Director Kentucky
Center for Education and Workforce Statistics [email protected]
http://kcews.ky.gov SLDS Webinar 8-28-1413 Linking K12 Education
Data to Workforce
Slide 14
SLDS Webinar 8-28-1414 Linking K12 Education Data to Workforce
Idaho Department of Labor
Slide 15
State Board of Education (SBOE) o Overseeing body for all
public education in Idaho o Recipient of 2012 SLDS grant State
Department of Education (SDE) o K12 education in Idaho o 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 SLDS Webinar 8-28-1415
Partners/Stakeholders
Slide 16
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 SLDS Webinar
8-28-1416 Common Goals Make Data Sharing Possible
Slide 17
SLDS Webinar 8-28-1417 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
Slide 18
Records included for all drivers license and state ID holders
DMV records have: o Social Security Number (SSN) o Name: First,
Middle, Last, Suffix o Any additional AKAs (multiple names, maiden
names) o Date of Birth (DOB) o Gender o Last-record update date
SLDS Webinar 8-28-1418 Using DMV Records
Slide 19
May not be a good representation of some populations (e.g.,
urban areas, out-of-state college students) Match Rate o 90 percent
of wage records matched DMV records o 85 percent match rate
anticipated when paired with education records SLDS Webinar
8-28-1419 Issues with DMV Data
Slide 20
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 SLDS Webinar 8-28-1420 Name Resolution Engine
Slide 21
LABXID o Temporary UID assigned for initial record matching o
Minimizes transfer of PII LABUID o Permanent UID o Common
identifier for P-20W system SLDS Webinar 8-28-1421 New Unique
Identifiers
Slide 22
SLDS Webinar 8-28-1422
Slide 23
Limit transfer of personally identifiable information (PII)
between silos Partitioned UID systemspread out PII pieces Data
remains in control of originating organization Data access and
transfer requires pre-approval o Aggregate data used when possible
SLDS Webinar 8-28-1423 Security and Privacy Concerns
Slide 24
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? SLDS Webinar 8-28-1424
Questions We Can Answer
Slide 25
Workforce data currently limited to those covered under UI tax
law No information on hours worked in Idaho No information on
occupations Limited information on work location SLDS Webinar
8-28-1425 Data Limitations
Slide 26
Karen Jarboe Singletary Senior Research Analyst Communications
& Research Idaho Department of Labor
[email protected] SLDS Webinar 8-28-1426
Linking K12 Education Data to Workforce
Slide 27
Questions???? SLDS Webinar 8-28-1427 Linking K12 Education Data
to Workforce