Open Conference Systems, ICQQMEAS2009

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THE ROLE OF STATISTICAL DESIGN IN SAMPLING PLAN AND PILOTING SERVICE IMPROVEMENT INITIATIVE SURVEY - QATAR CASE
Muwafaq Al-Kubaisi

Last modified: 2015-09-15

Abstract


As part of Qatar’s ongoing Service Improvement Initiative, a major national survey of client satisfaction is to be conducted regarding Qatar’s public services. The national survey is based on a representative sample of the population of Qatar’s citizens and residents. This survey is intended to inform the development of client-centric approaches in Qatar’s Ministries and Agencies by helping them to gain a greater understanding of the needs and expectations of their clients. The research is aimed at looking into how this survey can test the survey strategy, data collection tools & field procedures for each population of interest: citizens, residents and tourists. The research has showed the approaches for Assessing Customer Satisfaction and the main outcome of this experience in judging whether the survey questions flow: logic, order, relevance, easily understood, adequate to be measured. Sampling plan used in this research suggested that the sample is a national probability sample drawn proportionate to population on the basis of age and gender, and separately by municipality. These groups were used as sampling parameters that have provided the number of sub-groups to be researched. In this survey, there were two sources of under-coverage and over-coverage in the sample design. First, there were residents that live in labor gatherings. Second, there was the challenge of having to over-sample citizens in certain municipalities. Each of these issues were examined and dealt with accordingly

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