Analyzing QQI Award Graduates' Outcomes Using Administrative Data
This project focuses on utilizing national administrative data sources to track the post-qualification outcomes of QQI award graduates. By examining anomalies, gaps, and inconsistencies in coding within the education system, the aim is to develop a statistical tool for policymakers to generate longitudinal data on educational and labor market destinations. Led by James Byrne in collaboration with UCD and CSO, the project is supported by QQI and the Irish Research Council.
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Using Administrative Data to Track Outcomes for QQI award graduates 4thCSO Administrative Data Seminar 20thApril 2015 James Byrne 1
Background QQI Award Graduates A QQI Award is an award made to an individual, where QQI is the awarding body Precursor study Where do FETAC (QQI) Award Holders Go (Dempsey et al. 2013) successfully piloted an initial approach to link learner data across various administrative data sources for the year 2010 2
Context Educational attainment and skills development are key factors in individual employability and economic development Youth and other labour market entrants have been hit particularly hard by the recession Tracking education and labour market outcomes of graduates is critical to policy-makers and to individuals seeking to plan their careers 3
Project Objectives 1) To use the existing national administrative data sources to track post-qualification learner outcomes Including an exploration of data anomalies, gaps and coding inconsistencies in the national education system 2) To develop a statistical product that will enable policy- makers and other stakeholders to generate multi- annual longitudinal data on educational and labour market destinations 4
People A collaboration between QQI and UCD with the support of the CSO. Principal researcher; James Byrne (QQI) Project supervisors; Philip O Connell (UCD Geary Institute for Public Policy) Rhona Dempsey (QQI) Funded by QQI and the Irish Research Council 5
Administrative Data 2009 to 2015/16 QQI award holder data HEA student enrolment data; QQI award holders in higher education Revenue Commissioners P35 returns data; QQI award holders in employment Dept. Social Protection Data CRS data; QQI award holders seeking jobs 6
Administrative Data Data Year Observations (approx.) Variables QQI HEA Revenue DSP 2009 - 2012 320,000 p/a 2009 - 2012 220,000 p/a 2009 - 2013 2,870,000 p/a Cumulative 29,300,000 claims; 8,000,000 clients Approx. 25 Approx. 52 Approx. 25 14 7
Data Linking DSP Data Social protection (job seekers allowance / benefit) QQI Data Further education award holders Annual combined data-block HEA Data Higher education enrollments Revenue Data P35 returns 8
Data Linking 4 Job Seekers 3 Employment 2 Higher Ed. 1 Further Ed. 0 Award Holder 1 Q1 Award Holder 2 Q2 Q3 Award Holder 3 Q4 Award Holder N 9
Data Linking Longitudinal Data Linking the annual combined data-blocks 2009 to 2010 2009 to 2011 2009 to 2012 2009 to 2013 2009 10
Data Linking 4 Job Seekers 3 Employment 2 Higher Ed. Further Ed. 1 Award Holder 1 0 Y1, Q1 Award Holder 2 Y1, Q2 Y1, Q3 Y1, Q4 Y2, Q1 Y2, Q2 Award Holder 3 Y2, Q3 Y2, Q4 Y3, Q1 Y3, Q2 Award Holder N Y3, Q3 Y3, Q4 YN, Q1 YN, Q2 YN, Q3 YN, Q4 11
Challenges Myriad data compatibility issues, both between data from the same data source and between data from different data sources Lack of demographic information in core data Volume and complexity of data; many different permutations of graduate outcomes year on year NEETs 12
Outputs Report on data quality, with insights into standardisation and consistency. Derived from the methodology, a framework for the longitudinal linking that is scalable and repeatable for future use. A statistical longitudinal analysis of QQI award graduate outcomes. 13
Thank You Questions? Email: jbyrne@qqi.ie 14
