2013 Management Information Systems Conference 1 L ABOR & E DUCATION D ATA : S UCCESS S TORIES Wednesday, February 13, 2013 Carol Jenner, Washington State Education Research and Data Center Neal Gibson, Arkansas Research Center Michael Taquino and Mimmo Parisi, 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.

2013 Management Information Systems Conference 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 O VERVIEW 2

2013 Management Information Systems Conference W HY I NCLUDE W ORKFORCE D ATA IN AN SLDS? 3

2013 Management Information Systems Conference 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 W HY I NCLUDE W ORKFORCE D ATA : W ASHINGTON 4

2013 Management Information Systems Conference 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]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) W HY I NCLUDE W ORKFORCE D ATA : W ASHINGTON 5 "Employment and Wages Online Annual Averages, 2010," Bureau of Labor Statistics.

2013 Management Information Systems Conference W HY I NCLUDE W ORKFORCE D ATA : A RKANSAS 6

2013 Management Information Systems Conference W HY I NCLUDE W ORKFORCE D ATA : A RKANSAS 7

2013 Management Information Systems Conference Workforce Outcomes Inform Education o Performance-Based Program Management o Align Education with Workforce Expectations Perkins and Career Pathways Education Pipeline Informs and Strengthens Economic Development Initiatives W HY I NCLUDE W ORKFORCE D ATA : M ISSISSIPPI 8

2013 Management Information Systems Conference W HAT ARE THE R ELEVANT T YPES OF W ORKFORCE D ATA ? 9

2013 Management Information Systems Conference 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 T YPES OF W ORKFORCE D ATA : W ASHINGTON 10

2013 Management Information Systems Conference T YPES OF W ORKFORCE D ATA : A RKANSAS 11 WIA TAA WP UI FEDES WRIS TANF Workforce Programs

2013 Management Information Systems Conference T YPES OF W ORKFORCE D ATA : M ISSISSIPPI 12 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

2013 Management Information Systems Conference H OW C AN /S HOULD E DUCATION AND W ORKFORCE D ATA B E L INKED ? 13

2013 Management Information Systems Conference SSN is the key to linking Data quality strategies: o Use name information o Removing from matching files the SSNs associated with employment before an individual was old enough to work o 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 L INKING E DUCATION AND W ORKFORCE D ATA : W ASHINGTON 14

2013 Management Information Systems Conference 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” o Percent remaining in the state to work o Industry of employment and change over time o Wage trajectories, number of employers over multi-year spans Workforce characteristics of enrolled students: High school students, college students, financial aid recipients o How many students are employed while enrolled in high school or college? o How does employment during high school relate to employment after high school? Workforce analysis of teachers who leave teaching L INKING E DUCATION AND W ORKFORCE D ATA : W ASHINGTON 15

2013 Management Information Systems Conference What can’t be done with workforce data? From Washington UI wage data, we do not know: o Employment outside of Washington o Federal, military, postal service employment o Occupation o Distribution of wages within a quarter o Different jobs or positions for a single employer o Specific employee locations for multi-site employers Linking to workforce data (other than teacher data from SEA) is not possible without employee SSN L INKING E DUCATION AND W ORKFORCE D ATA : W ASHINGTON 16

2013 Management Information Systems Conference L INKING E DUCATION AND W ORKFORCE D ATA : A RKANSAS 17 Identity Resolution De-identified Research Data TIM Identity Data Only TrustED KI M Identity Resolution De-identified Research Data Research Data Only Knowledgebase Identity Management TrustEd Identifier Management Research Databases

2013 Management Information Systems Conference L INKING E DUCATION AND W ORKFORCE D ATA : A RKANSAS 18 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.

2013 Management Information Systems Conference L INKING E DUCATION AND W ORKFORCE D ATA : M ISSISSIPPI 19

2013 Management Information Systems Conference W HAT E XAMPLES OF E DUCATION AND W ORKFORCE D ATA L INKAGE AND U SE A RE A VAILABLE TO B E R EPLICATED AND C USTOMIZED ? 20

2013 Management Information Systems Conference E XAMPLES OF W ORKFORCE D ATA U SE : W ASHINGTON 21 P-20W and CTE – a perfect match Indicator 5S1 – Secondary Placement o Denominator (the cohort): Number of CTE concentrators who left secondary education during the reporting year o Numerator: Number in the cohort who were “placed” in postsecondary education or training, or in employment in a specific post-exit quarter o Washington uses P-20W data (Washington public postsecondary enrollment, National Student Clearinghouse, and UI wage data) to develop this indicator

2013 Management Information Systems Conference E XAMPLES OF W ORKFORCE D ATA U SE : W ASHINGTON 22 *These two categories are not mutually exclusive, so totals may add to more than 100%. Source: “Workforce Participation: Washington State High School Graduates, ” Washington Education Research & Data Center, February (forthcoming) How many high school students are employed during the school year?

2013 Management Information Systems Conference E XAMPLES OF W ORKFORCE D ATA U SE : W ASHINGTON 23 Median earnings of 2009 graduates Note the difference in earnings between CTC and 4-year students Source: “Workforce Participation: Washington State High School Graduates, ” Washington Education Research & Data Center, February (forthcoming) Often, one answer leads to more questions

2013 Management Information Systems Conference E XAMPLES OF W ORKFORCE D ATA U SE : A RKANSAS 24

2013 Management Information Systems Conference 25 E XAMPLES OF W ORKFORCE D ATA U SE : M ISSISSIPPI

2013 Management Information Systems Conference E XAMPLES OF W ORKFORCE D ATA U SE : M ISSISSIPPI 26 Workforce Pipeline for JOB CREATION  Sector: Transportation and Logistics  Potential Site: Desoto County  Pipeline: Postsecondary Students Graduating within One Year COMMUNITY COLLEGE PUBLIC UNIVERSITY Computer and Information Sciences and Support Services Transportation and Materials Moving. 190 Business, Management, Marketing, and Related Support Services 1,2781,010 TOTAL… 1,7691,147 Source: Mississippi State Longitudinal Data System, 2012

2013 Management Information Systems Conference Q UESTIONS AND A NSWERS 27

2013 Management Information Systems Conference For more information on labor and education data: Arkansas ARC: Mississippi nSPARC: Washington ERDC: A DDITIONAL R ESOURCES 28