Presentation on theme: "Quality assurance -Population and Housing Census Alma Kondi, INSTAT, Albania."— Presentation transcript:
Quality assurance -Population and Housing Census Alma Kondi, INSTAT, Albania
National Institute of Statistics Albania Contents Introduction Measures taken to ensure quality data collection Localization of errors and correction of the inconsistencies The principles of data editing and imputation Statistical evaluation- Deterministic corrections Quality assessment indicators at aggregate level Evaluation of the census quality based on Census/PES matched records Conclusion
National Institute of Statistics Albania Introduction Quality assurance is relevant for each activity and each operations stage of statistical operations. The main objective of this quality assurance is to provide valuable information for producer and the user of the data regarding the quality of census data.
National Institute of Statistics Albania Measures taken to ensure quality data collection Organizational measures- Trainings and training modules were given particular importance. Census data collection forms- The highest care was taken to ensure that questions were well understood Census mapping- An innovation of the Housing and Population Census 2011, was the implementation of GIS technology in all phases of census process.
National Institute of Statistics Albania Localization of errors and correction of the inconsistencies A number of processes were performed to turn the tick and text responses on the questionnaire into data that could be edited and imputed. Hear is summarizes the data processing adopted for the 2011 Albanian PHC:
National Institute of Statistics Albania The principles of data editing and imputation Editing- which consists in localize errors in collected data. Imputation of the localized errors and missing values: this second level of editing is also considered as the “correction” step of the errors in the responses.
National Institute of Statistics Albania Statistical evaluation- Deterministic corrections Not valid values can be replaced through deterministic or probabilistic corrections. A deterministic correction is generated by a constrain which if violated, lead to an error we are clearly able to correct.
National Institute of Statistics Albania Quality assessment indicators at aggregate level Individual dataset Household dataset Dwelling dataset Number of Records 2,800,138 722,262 1,021,332 Number of Variables 66 30 9 Number of Total values 184,809,108 21,667,860 9,191,988 Number of Valid values 180,558,49921,376,712 9,003,207 Number of Valid blanks 79,399,11913,568,117 1,334,076 Number of Valid non-blanks 101,159,3807,808,595 7,669,131 Number of Imputed values 4,250,609 291,148 188,781 Number of Additions 2,180,747 236,641 117,126 Number of Eliminations 1,201,259 49,588 7,272 Number of Modification 868,603 4,919 64,383 Imputation rate (I) 2.3 1.3 2.1 Additions rate (Ia) 1.2 1.1 1.3 Elimination rate (Ie) 0.6 0.2 0.1 Modification rate (Im) 0.5 0.0 0.7 Non-Imputation rate 97.7 98.7 98.0 % of records with I greater than 2.030.916.014.2 % of records with I greater than 5.011.55.214.2
National Institute of Statistics Albania Evaluation of the census quality based on Census/PES matched records Even though the word ‘Census’ implies a 100 per cent count of the people and housing, it is rarely possible to achieve this. The Conference of European Statisticians (CES) agreed in their preparations for the 2010 and 2011 Censuses in Europe that the Censuses should be evaluated to check on coverage and the quality of the information provided. Further the European legislation on the censuses requires Member States to report on the quality of the census results that they transmit to the European Commission. Consideration should be given to coverage and quality of information collected in the Census
National Institute of Statistics Albania Statistical evaluation- Census/PES matched records It should be underlined that not all the difference between Census and PES data should be automatically considered as a mistake since both the Census and PES operations are affected by errors. %95% Confidence Interval Sex Lower Upper Different126.96.36.199 Equal98.797.999.6 Civil Status Different3.815.9 Equal96.294.199 Age Different188.8.131.52 Equal93.190.298.6
National Institute of Statistics Albania Statistical evaluation- Census/PES matched records On the other hand PES was a smaller operation, the questionnaires were much easier and the enumerators were better trained. In this view, a conservative approach could be the assumption that each four differences three can be attributed to mistakes in the Census and only one to mistake in the PES. TETQ Sex1.099.0 Civil Status2.897.2 Age5.294.8
National Institute of Statistics Albania Conclusion A set of measures have been developed and introduced by INSTAT in order to guarantee the quality of the most important phase of the census: gathering complete and trustful data by all Albanian inhabitants. The overall procedure of edit and imputation of the 2011 Population and Housing Census in Albania is a very complex one. Impact of the edit and imputation procedure on the data related to the different units has been in some cases relevant, in order to obtain final datasets that are complete and free from inconsistencies and, at the same time, the original distributions have been preserved.
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