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Quality Framework, Process and Product Quality Measurement – Advanced course - 2024

QUALITY FRAMEWORK, PROCESS AND PRODUCT QUALITY MEASUREMENT – ADVANCED COURSE 
Course LeaderGabriele ASCARI
Target GroupStaff of national statistical institutes involved in statistical production processes and in quality management.
Entry Qualifications
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions.
  • Entry competences required: University degree or equivalent.
  • Basic knowledge of survey process and survey errors
  • Basic knowledge of the ESS quality framework (or participation in the “Quality management in statistical agencies - introductory course”).
Objective(s)To provide participants with theory and practice of quality in Official Statistics, in particular process and product quality. To this purpose, a brief overview of the ESS quality framework is given. Then, the focus of the course shifts on process and product quality measurement. The statistical process is described and tools for preventing and reducing the errors are presented and discussed. Methods and tools to assess the effect of non-sampling errors such as coverage, measurement and nonresponse errors in statistical products are widely described.
Contents
  • ESS quality framework
  • Process description and quality
  • Quality and performance indicators
  • Quality issues in statistics derived from survey data, administrative data or from multiple sources
  • Product quality: ESS quality dimensions and their evaluation, Accuracy and errors, models for estimating the impact of non-sampling errors on estimates
  • Quality assessment and reporting
Expected Outcome

Increased knowledge on ESS quality management practices.

Participants should become aware of the type of quality problems affecting statistical data and should develop the ability to plan a set of interventions in order to prevent, control and evaluate the errors that affect the accuracy of the statistics, taking into account other dimensions of quality as well.

A strong network among colleagues within the same field for future cooperation and exchange of experiences.

Training Methods
  • Presentations and lectures
  • Exchange of views/experiences on national practices
  • Group works
Required Reading
Suggested Reading
Required PreparationAlthough not mandatory, participants are invited to prepare in advance a short presentation on quality approaches, activities and tools adopted within their organisation. Some or all presentations (depending on the time available) will be selected to be discussed by the authors during the course.
Trainer(s)/

Lecturer(s)

Course leader: Gabriele Ascari (Istat)

G. Simeoni, M. Di Zio, D. Filipponi (Istat)

 

 

Practical Information    
WhenDurationWhereOrganiserApplication  via National Contact Point
07–09.05.20242,5 daysISTAT, RomeICON-INSTITUT Public Sector GmbHDeadline: 11.03.2024