Pregled bibliografske jedinice broj: 836816
Intracluster Homogeneity Selection Problem in a Business Survey
Intracluster Homogeneity Selection Problem in a Business Survey // Business systems research, 7 (2016), 2; 91-103 doi:10.1515/bsrj-2016-0015 (podatak o recenziji nije dostupan, članak, znanstveni)
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Naslov
Intracluster Homogeneity Selection Problem in a Business Survey
Autori
Žmuk, Berislav
Izvornik
Business systems research (1847-8344) 7
(2016), 2;
91-103
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
business survey; cluster sampling; complex survey sampling design; design effect; key survey question; rate of homogeneity; survey costs
Sažetak
Background: In the cluster sampling approach many parameters have influence on the costs lowering and one of the most important is the intracluster homogeneity. Objectives: 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: From the conducted business survey in Croatia five key variables has been selected and results for two-stage cluster sampling design approach were simulated. The calculated intracluster homogeneity values were compared among all 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 intracluster homogeneity value which is the closest to the average intracluster homogeneity value among all key questions. Similar results were obtained when survey costs were held fixed. Conclusions: If in the survey are more than one key question then the best solution would be to use average intracluster homogeneity value. However, it has to bear on mind that in that case minimum survey costs would not be reached, but the precision levels would increase at all key questions.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Ovaj rad je u potpunosti podržan od strane Hrvatske zaklade za znanost kao dio znanstvenog projekta „Statistical Modelling for Response to Crisis and Economic Growth in Western Balkan Countries“ (STRENGTHS) ; Broj projekta: 9402 ; Projektno razdoblje: 2014.-2018 ; Voditeljica: prof. dr. sc. Ksenija Dumičić.
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- Emerging Sources Citation Index (ESCI)
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