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This paper proposes a web-based GNH survey application, capable of identifying missing data mechanism which is crucial in effectively handling missing data in survey questionnaire. First, the authors have stated the rationale behind GNH survey briefly highlighting the concept and the birth of GNH. Second, they have described the present approach of conducting GNH survey with special emphasis on the problems associated with it. Third, they have shown their proposed GNH survey application, demonstrating how the problems of current approach can be rectified and improved upon. In addition, the issues of missing data in a database and as to how to handle it via a web service are also discussed and implemented.
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