:: Volume 28, Issue 1 (9-2023) ::
Andishe 2023, 28(1): 27-41 Back to browse issues page
Introduction of tools and key indicators to assess the quality of administrative data for use in the population and housing census‎
Parya Torabi kahlan * , Lida Kalhori nadrabadi
statistical research and training cente
Abstract:   (839 Views)

‎The use of administrative resources in censuses provides the possibility of reducing costs‎, ‎improving data quality and producing information with a shorter time sequence‎. ‎The mentioned cases‎, ‎in addition to the annual monitoring of indicators of sustainable development goals‎, ‎can also play a significant role in meeting the growing needs of the country's planning and research system‎, ‎but there are many challenges in this regard‎, ‎one of the most important of which is the assessment of the quality of administrative data‎. ‎Quality assessment is the most important aspect of using registration and administrative data in the census‎, ‎and it is one of the necessities of the registers-based population and housing censuses‎, ‎where traditional quality assessment criteria cannot be used‎. ‎In other words‎, ‎despite the advantages of using register and administrative data in the census‎, ‎there are many key quality risks that need to be addressed and assessed before using them in the census‎. ‎In this paper‎, ‎the methods by which the national statistics offices can evaluate the quality of the data obtained from the registers with the aim of producing high-quality statistical outputs have been reviewed‎. ‎Therefore‎, ‎the tools and key indicators used to quantify the quality assessment in each of the four stages of quality assessment including source‎, ‎input data‎, ‎process and output in the census process are introduced‎.

Keywords: ‎Traditional Census‎, ‎registers-based census‎, ‎Assessing the quality of administrative data.
Full-Text [PDF 219 kb]   (244 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2023/08/22 | Accepted: 2023/11/7 | Published: 2024/03/15


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Volume 28, Issue 1 (9-2023) Back to browse issues page