Higher Education Statistics collection and processing

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Higher Education Statistics collection and
processing

• May 11, 2006
• Anna Gärdqvist
• Mats Haglund
• Statistics Sweden
• Higher Education Statistics

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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

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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

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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

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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

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

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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

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I N T E R N E T
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From administrative to 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

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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

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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

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Pros and cons with Register of Higher Education

• 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

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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

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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