Linking information for better lives in Connecticut P20 WIN Linking information for better lives in Connecticut

What is P20 WIN? Connecticut’s inter-agency data sharing network A voluntary collaboration Able to link data between Connecticut’s education and workforce agencies For the purpose of improving publically funded education programs Education programs include preschool through high school, post-secondary, adult education and workforce training.

P20 WIN is NOT Not a data collection Not a database or data warehouse

Purpose: Improve education P20 WIN will inform sound educational policies and effective program practices through secure sharing of critical longitudinal data across state agencies to ensure that individuals successfully navigate educational pathways into the workforce.

Data Security & Privacy Procedures satisfy state and federal law including the Family Education Rights and Privacy Act (FERPA). No centralized repository of linked data. Data are used only for approved data requests. No identifying information in data set for analysis. Names, birth dates and SSN’s are NOT available to the analyst. Only designated Authorized Representatives can conduct analysis. All data must be aggregated before made public. All data are destroyed when evaluation is complete.

Probabilistic Data Matching Process (wage & employment data) Data sources Probabilistic Data Matching Process (@ DOL) State Department of Education (pK-12) Connecticut State Colleges & Universities (CSCU) Department of Labor (wage & employment data) Connecticut Independent Colleges & Universities (CCIC) University of Connecticut (UCONN)

2 ways to access 1. Data Requestor / Authorized Representative An individual or agency that conducts an evaluation of publically funded education programs Request is for individual level data from more than one Participating Agency for analysis Has research skills and can secure data according to data sharing agreement 2. Data Consumer: Someone who uses data sets produced through P20 WIN that are publically available

1 – You as a Data Requestor Steps Define your evaluation Visit P20 WIN website: http://www.ct.edu/initiatives/p20win Read the Data Request Management Procedure http://www.ct.edu/files/pdfs/P20WIN- DataRequestProcedure-Final_01202015.pdf Draft a brief proposal Send proposal to me, Jan Kiehne, kiehnej@ct.edu

2 – You as a Data Consumer Steps Visit P20 WIN website: http://www.ct.edu/initiatives/p20win Visit “Requests & Reports” at http://www.ct.edu/initiatives/p20win#request Visit “Charts” at http://www.ct.edu/initiatives/p20win#charts Read related summary reports and caveats before re- using the data for other purposes.

High school graduate outcomes Post secondary enrollment, remediation & credits attained by CT public high school graduates. By high school district & individual high schools Graduation Cohort of 2010 – request 0001 Graduation Cohort of 2011 – request 0007 Not for distribution

Postsecondary graduate outcomes Employment & Wage Outcomes for CSCU – requests 0003, 0006, 0011 For CSCU graduates from 2009-10 through 2013-14 By institution By degree level By education program / 6 digit CIP code Prior to and after graduation at different points in time Number of graduates employed Quarterly wages earned Change in quarterly wages earned

Challenges & Strengths Not for research in general. Data requests must be for the improvement of publically funded education programs Use of data requires understanding methodology and context No repository of linked data No funding or dedicated staff Strengths: Provides ability to securely link unit record data between Participating Agencies. Legal framework and data agreement templates to speed up documentation process Vision is to improve education programs and student outcomes for CT students of all ages.

Questions? Jan Kiehne P20 WIN Program Manager Institutional Research Specialist CT State Colleges & Universities kiehnej@ct.edu 860-723-0236

Extra Slides

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The Request Document What do the agencies need to know to provide what you need? Section 3.e

The Data Elements P20 WIN Data Dictionary Obtain the template from Jan

Components Included: Not Included: Data Governance Policy: Structure for collaborative decision making and operational management Data Matching: Probabilistic & deterministic matching Process Data Sharing Agreements: Suite of data sharing agreements with templates to increase efficiency Protocol to Expand: Process for engaging new participants Data Dictionary: Each agencies elements Data Governance Manual: Includes everything Cost Sharing Policy: Sets parameters for how costs will be shared by agencies and the state Not Included: Centralized data warehouse

P20 WIN as a Resource Wage and employment outcome data for program evaluation NEASC reporting (Standard 8.3: Job Placement Rates) Outcome data for grants Source of data for faculty research that applies to federally funded education programs Supporting research and evaluation to improve education policy in Connecticut

What could P20 WIN address? To what degree are required HS courses bolstering college and career readiness? Do Early College programs make a difference in college persistence rates? Which teacher training programs need to be strengthened and how? Have programs designed to serve local workforce needs resulted in employment for program completers? To what degree are liberal arts graduates able to find employment in our region?