1. Higher Education Statistics – collection and processing May 11, 2006 Anna Gärdqvist Mats Haglund Statistics Sweden Higher Education Statistics

2. Register of Higher Education All students (undergradute/postgraduate) Unique identification numbers National Agency for Higher Education is responsible for official statistics Statistics Sweden is responsible for the register

3. Data providers Universities are data providers for official statistics according to regulation Regulation: ”… to secure that information on applicants, studies achieved, credits and graduations are saved.” Ladok – Local Administrative Documentation System Ladok is owned and managed by a consortium

4. Purposes of Ladok Local administration needs Allocation of financial resources Releasing data to certain public authorities (e.g. for official statistics) Follow-up studies and evaluations

5. Ladok – contents Integrates administration of students and statistical information Regulation states the contents of Ladok, e.g. - identification- eligibility - admission- registration - course data- credit points - graduations- international studies

6. Swedish National Board of Student Aid Ministry of Education, Research and Culture Statistics Sweden

7. Ladok – quality Testing and developing Continous error reporting Person(s) at university over-all responsible System management Maintenance and developing work Annual meetings Ladok Academy (education organization)

8. Data to Statistics Sweden Data deliveries eight times a year According to annual schedule Special Ladok routines txt-files Loading into database Statistical secrecy 99 per cent of all data provided via Ladok

9. I N T E R N E T

10. From administrative to statistical register Administrative register Register-statistical processing Statistical register Administrative register is processed so objects and variables will meet statistical needs: - Editing and coding - Handling of missing objects and values - Matching and selections - Processing of time references - Creating derived objects and variables

11. From administrative to statistical register Quality assurance: –Contacts with data providers –Checking received data –Missing values: reasons and extent (studies over time) –Inconsistencies are investigated and reported –Good knowledge of administrative data

12. Register of Higher Education Based on unique personal identity numbers: Time series studies, follow-up studies Data processing with other registers, e.g. - Population register - Employment register Integrity aspects

13. Pros - Individual counted data - Longitudinal data - Total counted data - Adapted to ISCED97 - Good possibilities for reporting small areas, regional statistics Cons - Dependent on the administrative system's population, object and variable definitions - Difficult to influence input - Variables less important for administrative work can be of lower quality Pros and cons with Register of Higher Education

14. Output – Register of Higher Education - Tables - Publications - Public database - Sampling frame - Integrated databases - Research purposes - Analyses/qualitative reports - Annual Report for Universities and University Colleges - ”Key figures” or indicators - National Monitoring database

15. More information Ladok www.ladok.se Swedish National Agency of higher Education www.hsv.se Ministry of Education, Research and Culture www.regeringen.se Statistics Sweden www.scb.se