Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 849153

The choice of a sampling procedure for a (too) small target population: the case of Croatian public hospitals


Žmuk, Berislav; Dražić Lutilsky, Ivana; Dragija, Martina
The choice of a sampling procedure for a (too) small target population: the case of Croatian public hospitals // Zbornik Ekonomskog fakulteta u Zagrebu, 14 (2016), 2; 19-44 (podatak o recenziji nije dostupan, prethodno priopćenje, znanstveni)


CROSBI ID: 849153 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
The choice of a sampling procedure for a (too) small target population: the case of Croatian public hospitals

Autori
Žmuk, Berislav ; Dražić Lutilsky, Ivana ; Dragija, Martina

Izvornik
Zbornik Ekonomskog fakulteta u Zagrebu (1333-8900) 14 (2016), 2; 19-44

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni

Ključne riječi
complex survey design; sampling; clustering; stratifi cation; Croatian hospitals

Sažetak
In some cases, a sampling approach must be used instead of a census even if the target population is small. In such a case, the drawn sample will also be small and every sample unit can significantly influence the results. This paper aims to address the aforementioned issue from the perspective of different sampling procedures. The observed small population consists of 57 Croatian hospitals. The averages of total due obligations for medicines of Croatian hospitals in 2014 are estimated using three different sampling procedures and compared to the real population parameter value. The analysis has shown that the minimum recommended overall sampling rate, which would result in satisfactory precision and accuracy levels of parameter estimates, for simple random sampling and stratified random sampling is 70%. The two-stage cluster sampling procedure, on the other hand, did not achieve a satisfactory precision and accuracy level at any of the observed sample sizes because of a high level of heterogeneity between clusters.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

Hrčak

Citiraj ovu publikaciju:

Žmuk, Berislav; Dražić Lutilsky, Ivana; Dragija, Martina
The choice of a sampling procedure for a (too) small target population: the case of Croatian public hospitals // Zbornik Ekonomskog fakulteta u Zagrebu, 14 (2016), 2; 19-44 (podatak o recenziji nije dostupan, prethodno priopćenje, znanstveni)
Žmuk, B., Dražić Lutilsky, I. & Dragija, M. (2016) The choice of a sampling procedure for a (too) small target population: the case of Croatian public hospitals. Zbornik Ekonomskog fakulteta u Zagrebu, 14 (2), 19-44.
@article{article, author = {\v{Z}muk, Berislav and Dra\v{z}i\'{c} Lutilsky, Ivana and Dragija, Martina}, year = {2016}, pages = {19-44}, keywords = {complex survey design, sampling, clustering, stratifi cation, Croatian hospitals}, journal = {Zbornik Ekonomskog fakulteta u Zagrebu}, volume = {14}, number = {2}, issn = {1333-8900}, title = {The choice of a sampling procedure for a (too) small target population: the case of Croatian public hospitals}, keyword = {complex survey design, sampling, clustering, stratifi cation, Croatian hospitals} }
@article{article, author = {\v{Z}muk, Berislav and Dra\v{z}i\'{c} Lutilsky, Ivana and Dragija, Martina}, year = {2016}, pages = {19-44}, keywords = {complex survey design, sampling, clustering, stratifi cation, Croatian hospitals}, journal = {Zbornik Ekonomskog fakulteta u Zagrebu}, volume = {14}, number = {2}, issn = {1333-8900}, title = {The choice of a sampling procedure for a (too) small target population: the case of Croatian public hospitals}, keyword = {complex survey design, sampling, clustering, stratifi cation, Croatian hospitals} }

Časopis indeksira:


  • EconLit


Uključenost u ostale bibliografske baze podataka::


  • ABI/INFORM
  • EconLit
  • EBSCO





Contrast
Increase Font
Decrease Font
Dyslexic Font