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Kristen Himelein, Stephanie Eckman and Siobhan Murray

Abstract

Livestock are an important component of rural livelihoods in developing countries, but data about this source of income and wealth are difficult to collect due to the nomadic and seminomadic nature of many pastoralist populations. Most household surveys exclude those without permanent dwellings, leading to undercoverage. In this study, we explore the use of a random geographic cluster sample (RGCS) as an alternative to the household-based sample. In this design, points are randomly selected and all eligible respondents found inside circles drawn around the selected points are interviewed. This approach should eliminate undercoverage of mobile populations. We present results of an RGCS survey with a total sample size of 784 households to measure livestock ownership in the Afar region of Ethiopia in 2012. We explore the RGCS data quality relative to a recent household survey, and discuss the implementation challenges.

Open access

Berislav Žmuk

Abstract

Background: In the cluster sampling approach many parameters have influence on lowering the survey costs and one of the most important is the intracluster homogeneity.

Objectives: The goal of the paper is to find the most optimal value of intracluster homogeneity in case when two or more questions or variables have a key role in the research.

Methods/Approach: Five key variables have been selected from a business survey conducted in Croatia and results for the two-stage cluster sampling design approach were simulated. The calculated intracluster homogeneity values were compared among all the five observed questions and survey costs and precision levels were inspected.

Results: In the new cluster sampling design, for the fixed precision level, the lowest survey costs would be achieved by using the intracluster homogeneity value which is the closest to the average intracluster homogeneity value among all the key questions. Similar results were obtained when survey costs were held fixed.

Conclusions: If there is more than one key question in the survey, then the best solution would be to use an average intracluster homogeneity value. However, one should notice that in that case minimum survey costs would not be reached, but the precision levels would increase at all key questions.

Open access

Dino Kakeš and Senad Fazlović

Abstract

The concept of quality management in the public sector is nowadays more popular than ever before. Since it forms in the fields of public interest, public companies, institutions and organizations are crucially important for the development and the functioning of any social and modern society. Therefore, those organisations are expected to perform transparent, efficient, democratic and socially righteous work with the goal of maintaining and improving the quality of a nation’s economic life. In Bosnia and Herzegovina, the public sector is specific and additionally complicated by a complex political system, legal procedures and the constitutional structure and as such, it is often very ineffective. The main purpose of the implementation of ISO 9001 is to introduce a system of quality management and improve the quality of public services as well as to ensure customer satisfaction. Therefore, the goal of this paper is to present the concept of customer satisfaction and selected statistical methods in quality management, and to apply a part of these methods through secondary research and analysis of published reports about customer satisfaction with services of the public sector in Bosnia and Herzegovina. Results of the study have confirmed greater user satisfaction with service in the public sector in units of local self-government with an implemented ISO 9001 standard implemented ISO 9001 standard than in units in which the standard has not been implemented.