Labor & Education Data: Success Stories

1. Labor & Education Data: Success Stories • Wednesday, February 13, 2013 • Carol Jenner, Washington State Education Research and Data Center • Neal Gibson, Arkansas Research Center • Michael Taquino and MimmoParisi, National Strategic Planning & Analysis Research Center (nSPARC) at Mississippi State University • Jeff Sellers and David Stevens, State Support Team Photos are stock photos. Release for web use of all photos on file.

2. Overview Why include workforce data in a P-20W SLDS? What are the relevant types of workforce data? How can/should education and workforce data be linked? What compelling examples of education and workforce data linkage and use are available for other states to replicate and customize? Questions and Answers

3. Why Include • Workforce Data • in an SLDS?

4. Why Include Workforce Data: Washington Traditionally, for program evaluation • Career/Technical Education (CTE) follow-up • Evaluation of workforce training programs • Short-term follow-up is common In a P-20W setting • How many graduates participate in the Washington workforce? • How do employment characteristics vary by student major field of study? • Do graduates stay with the same employer they had while enrolled? • Multi-year follow-up is possible

5. Why Include Workforce Data: Washington The share of jobs requiring postsecondary education or training is increasing • Success in employment is a critical element in evaluating the effectiveness of education and training programs • Awareness of employment outcomes of specific programs can help guide education and career decisions [careerbridge.wa.gov] Critical questions (examples from K-12) How do employment and enrollment after high school relate to employment patterns established during high school? What are the workforce outcomes for completers of a particular program in my school? (Career/Technical Education) "Employment and Wages Online Annual Averages, 2010," Bureau of Labor Statistics. <www.bls.gov/cew/cewbultn10.htm>

6. Why Include Workforce Data: Arkansas

7. Why Include Workforce Data: Arkansas

8. Why Include Workforce Data: Mississippi • Workforce Outcomes Inform Education • Performance-Based Program Management • Align Education with Workforce Expectations • Perkins and Career Pathways • Education Pipeline Informs and Strengthens Economic Development Initiatives

9. What are the • Relevant Types of • Workforce Data?

10. Types of Workforce Data: Washington Unemployment Insurance (UI) Wage Data (the gold mine!) • Total wages and hours worked • Employee name, SSN, employer account number UI Claimant Data • Individuals with 680 hours of covered employment in a base year Employer characteristics (added to wage record) • Industry, Ownership (private, government, foreign) • Number of employees • Location Workforce training program participants K-12 Staff (collected by SEA), Retirement data

11. Types of Workforce Data: Arkansas Workforce Programs • WIA • TAA • WP • UI • FEDES • WRIS • TANF

12. Types of Workforce Data: Mississippi • MDHS • MDE • MSDH • Head Start • MDE • 152 Districts • 900 Schools • IHL • 8 Universities • MCCB • 15 Com. Colleges • ABE • Labor Market Data • K-12 Career Technical • Employment/Wage • WIA, TAA, WP • TANF/SNAP • Rehab Services • Corrections • Community College

13. How Can/Should • Education and • Workforce Data • Be Linked?

14. Linking Education and Workforce Data: Washington SSN is the key to linking • Data quality strategies: • Use name information • Removing from matching files the SSNs associated with employment before an individual was old enough to work • Screening education records for SSNs issued before an individual was born Enhancing the percentage of cohort with SSN • SSNs linked from other education sectors • Non-education data sources (driver license, state ID) Emphasis on de-identified data sets and summary data

15. Linking Education and Workforce Data: Washington What can/should be done with workforce data? Analysis of workforce outcomes for program completers: High school graduates, CTE completers, degree recipients, dropouts and “stop-outs” • Percent remaining in the state to work • Industry of employment and change over time • Wage trajectories, number of employers over multi-year spans Workforce characteristics of enrolled students: High school students, college students, financial aid recipients • How many students are employed while enrolled in high school or college? • How does employment during high school relate to employment after high school? Workforce analysis of teachers who leave teaching

16. Linking Education and Workforce Data: Washington What can’tbe done with workforce data? From Washington UI wage data, we do not know: • Employment outside of Washington • Federal, military, postal service employment • Occupation • Distribution of wages within a quarter • Different jobs or positions for a single employer • Specific employee locations for multi-site employers Linking to workforce data (other than teacher data from SEA) is not possible without employee SSN

17. Linking Education and Workforce Data: Arkansas Identity Data Only Research Data Only TIM TrustEd Identifier Management KIM TrustED Knowledgebase Identity Management Research Databases Identity Resolution Identity Resolution De-identified Research Data De-identified Research Data

18. Linking Education and Workforce Data: Arkansas • Level of Reporting • New FERPA regulations allow for feedback reports to the previous institution, at the individual level. • Current workforce regulations only allow for aggregates to be reported. For these data to be used effectively by providers of workforce training, individual level data are needed.

19. Linking Education and Workforce Data: Mississippi

20. What Examples of • Education and Workforce • Data Linkage and Use • Are Available to Be • Replicated and Customized?

21. Examples of Workforce Data Use: Washington P-20W and CTE – a perfect match Indicator 5S1 – Secondary Placement • Denominator (the cohort): Number of CTE concentrators who left secondary education during the reporting year • Numerator: Number in the cohort who were “placed” in postsecondary education or training, or in employment in a specific post-exit quarter • Washington uses P-20W data (Washington public postsecondary enrollment, National Student Clearinghouse, and UI wage data) to develop this indicator

22. Examples of Workforce Data Use: Washington • How many high school students are employed during the school year? *These two categories are not mutually exclusive, so totals may add to more than 100%. Source: “Workforce Participation: Washington State High School Graduates, 2008-09” Washington Education Research & Data Center, February 2011. <http://www.erdc.wa.gov/briefs/> (forthcoming)

23. Examples of Workforce Data Use: Washington Often, one answer leads to more questions Median earnings of 2009 graduates Note the difference in earnings between CTC and 4-year students Source: “Workforce Participation: Washington State High School Graduates, 2008-09” Washington Education Research & Data Center, February 2011. <http://www.erdc.wa.gov/briefs/> (forthcoming)

24. Examples of Workforce Data Use: Arkansas

25. Examples of Workforce Data Use: Mississippi

26. Examples of Workforce Data Use: Mississippi Workforce Pipeline for JOB CREATION • Sector: Transportation and Logistics • Potential Site: Desoto County • Pipeline: Postsecondary Students Graduating within One Year

27. Questions • and Answers

28. Additional Resources For more information on labor and education data: Arkansas ARC: https://arc.arkansas.gov/ Mississippi nSPARC: http://www.nsparc.msstate.edu Washington ERDC: http://www.erdc.wa.gov