Survey Data Quality Assessment: Methodology and Techniques
Survey Data Quality Assessment: Methodology and Techniques
Date:
July 7, 2008
The quality of data collected through sociological surveys is essential for ensuring representativeness of information, its reliability and accuracy. Survey data quality involves many aspects ranging from sample approach, instrument development to data processing and creation of the dataset.
The lecture “Survey Data Quality Assessment: Methodology and Techniques”, organized by CRRC-Armenia and MCA-Armenia and conducted by Dr. Fritz Scheuren (USA) on July 7, 2008, elaborated on two aspects of improving quality of survey data with a focus on the Integrated Survey of Living Standards conducted by the National Statistical Service of Armenia.
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