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Enhancing Editing Strategies at Data Collection: Impact of EDR & New Technologies

Explore the use of EDR and new technologies to improve data editing strategies in statistical production processes. Learn about challenges, evaluation methods, and the integration of respondents in the editing process.

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Enhancing Editing Strategies at Data Collection: Impact of EDR & New Technologies

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  1. Topic (i) Editing nearer the source • Topics of interest • Strategies or methods that try to move editing at the point of data collection • The impact of EDR on editing strategies • Editing in the framework of the general statistical production process •  Evaluation of editing and imputation methods

  2. General context • Challenges of public statistical institutions • New technologies (IT tools and statistical methods) could improve editing processes Point in common Use of new technologies in order to improve efficiency and quality

  3. Focus of the papers • Germany: internet-based technology for collecting raw data directly from ERP or other software systems • Italy: different computer assisted techniques for data collection • Spain: Web questionnaires and selective editing • UK (Wagstaff & Rogers):diagnosis for the effective evaluation of the performance of imputation •  UK (Al-Hamad et al.): tool for assessing the impact of reducing costs on output quality

  4. Data editing “good practice”: moving editing closer to respondents Going a step further: integrating the respondents in editing

  5. Data editing by respondents  Paper questionnaires  few opportunities  Electronic questionnaires  many opportunities (built-in edits) EDR enables more editing to take place at data collection by the respondents

  6. Some crucial questions •  How to integrate EDR with existing statistical systems ? •  How to ensure uniformity when different modes of data collection are used? • How to increase the take-up of electronic questionnaires? • How to design editing strategies in order to obtain a optimum trade-off between components of quality? • What indicators of the performance of imputations should be constructed and analyzed? • ...?

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