Training Courses

The courses will be held on 29 May at the Megaron Athens International Conference Centre, Vas. Sofias Ave. & Kokkali St., Athens, (

The courses will start at 9:30 and will end at 17:00 including a lunch break and two coffee breaks. All training courses will run in parallel. Please indicate on the registration form which course you would prefer to attend. The registration desk will be open at 8:30 - 9:30.


08:30 - 09:30     Registration
09:30 - 11:00     Q2012 Training courses
11:00 - 11:30     Coffee break
11:30 - 13:00     Q2012 Training courses
13:00 - 14:00     Lunch break
14:00 - 15:30     Q2012 Training courses
15:30 - 16:00     Coffee break
16:00 - 17:00     Q2012 Training Courses

1. Data quality assessment methods within the context of quality management

Trainers: Ms Maria Dologova (Statistical Office of Slovac Republic) and Dr. Johanna Laiho-Kauranne (TIKE, Finland)

  • Elements of a quality management system and corresponding principles of the ESS Code of Practice
  • Dimensions of data quality
    • Product quality criteria
    • Process quality criteria
  • Data quality assessment methods and tools
    • Quality reports and indicators
    • Measurement of process variables
    • Self-assessments and Auditing 
    • User satisfaction surveys
  • Labeling and Certification    
    • Labeling
    • Assessment to the international standard on market, opinion and social research

2. Electronic data collection including mixed modes

Trainers: Ms Amy E. Anderson (US Census Bureau) and Dr. Jennifer Romano Bergstrom (Fors Marsh Group, USA)

  • Electronic questionnaire design
  • Computer-assisted interviewing (CAI) systems for collecting survey data.
  • Web questionnaires
  • Utilizing web technology in survey data collection
  • Strengths and Weaknesses of Electronic Surveys

Course text and material:

3. The treatment of missing survey data (Dealing with non response)

Trainers: Ms Ineke Stoop (The Netherlands Institute for Social Research) and Ms Fannie Cobben (Statistics Netherlands)

  • Unit non response in social surveys
  • Recommendations for reducing non response rates
  • Methods of weighting for unit non-response
  • Selectivity and representativity (R-indicator)
  • International trends

Course text and material:

4. Integration of multiple data sources

Trainer: Mr. Li-Chun Zhang (Statistics Norway)

The methods, which produce statistics combining data from surveys and administrative records primarily, aim at the following goals:

  • Increasing of the coherence of results
  • Secure consistency between estimates from various sources
  • Reduction of the survey cost and the response burden

The most commonly used techniques for the integration of multiple data sources are:

  • Record linkage
  • Statistical matching
  • Imputation and model assisted/based estimation
  • Micro integration

Course text and material:

5. Variance estimation for Household Surveys

Trainer: Prof. Vijay Verma (University of Siena, Italy)

  • Overview of sampling designs in household surveys
  • Methods for variance estimation
    • Analytic methods
    • Linearization methods
    • Replication methods (Jackknife, Bootstrap, Balance repeated replication, Random group methods)
  • Tools for variance estimation

Course text and material: