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Higher Education Statistics – collection and processing
May 11, 2006
Anna Gärdqvist
Mats Haglund
Statistics Sweden
Higher Education Statistics
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
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
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
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
Swedish National Board of Student Aid
Ministry of Education, Research and Culture
Statistics Sweden
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)
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
I N T E R N E T
From administrative to statistical register
Administrative register
Register-statisticalprocessing
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
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
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
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
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
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