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Neden sadece 3 sonuç görüntüleyebiliyorum?
Sadece üye olan kurumların ağından bağlandığınız da tüm sonuçları görüntüleyebilirsiniz. Üye olmayan kurumlar için kurum yetkililerinin başvurması durumunda 1 aylık ücretsiz deneme sürümü açmaktayız.
Benim olmayan çok sonuç geliyor?
Birçok kaynakça da atıflar "Soyad, İ" olarak gösterildiği için özellikle Soyad ve isminin baş harfi aynı olan akademisyenlerin atıfları zaman zaman karışabilmektedir. Bu sorun tüm dünyadaki atıf dizinlerinin sıkça karşılaştığı bir sorundur.
Sadece ilgili makaleme yapılan atıfları nasıl görebilirim?
Makalenizin ismini arattıktan sonra detaylar kısmına bastığınız anda seçtiğiniz makaleye yapılan atıfları görebilirsiniz.
 Görüntüleme 52
 İndirme 34
Yatan Hastalar İçin Probit Regresyon Analizi ile Hastanenin Tekrar Tercih Edilebilirliğinin İncelenmesi
2018
Dergi:  
Süleyman Demirel Üniversitesi Vizyoner Dergisi
Yazar:  
Özet:

In terms of hospitals to be preferred again by the patients is quite crucial. The re-preference of the same hospital is related to the quality of the service offered as well as its various features such as the socio-demographic characteristics of the patient. In this study, the satisfaction factors such as “physician”, “physical facility”, “catering” and “other employees” factors which are thought to be effective on the re-preference of the hospital are aimed to be explained by the probit regression analysis according to residential status. The sample of the study consists of 397 inpatients in Kırıkkale University Medical Faculty Hospital. Patients are determined by stratified random sampling method. In the general model estimated by the probit regression analysis, the satisfaction attained related to the "doctor" factor is found to be statistically significant while the satisfaction due to the factors of "catering", "other employees" and " physical facility" is found to be statistically insignificant. However, when the univariate model is established with these factors, it is found that all the factors except catering in the probit models are significant. As a result of this study, it is determined that inpatients tend to re-prefer the hospital as the satisfaction of the "doctor" factor increases. Also according to the residential status, it is determined that the patients residing in the city center would re-prefer the hospital with a higher probability compared to the patients residing elsewhere. 

Anahtar Kelimeler:

Examination Of The Hospital’s Reconciliability With Probit Regression Analysis For Underlying Patients
2018
Yazar:  
Özet:

ın terms of hospital to be preferred again by the patient is quite important of the repreference of the same hospital is related to the quality of the service offered as well as its existence such as the sociodemographic characteristics of the patient ın this study factors such as “physical bladder” in the “catering” and “other employees” factors which are thughpret to be effective on the repreference of the hospital are significantly explained by the probit regression analysis according to the conditions of the implementation of the implementation of the diplomacy of the insurance policy of the diplomacy of the insurance policy of the diplomacy in the generalization of the program of the diplomacy of the diplomacy of the diplomacy of the insurance of the diplomacy of the insurance of the insurance policy of the insurance of the insurance of the insurance of the insurance of the insurance of the insurance of the insurance of the implementation of the implementation of the implementation of the implementation of the insurance of the diplomacy in the diplomacy in the insurance of the diplomacy of the diplomacy of the insurance of the insurance policy of the implementation of the diplomacy in the insurance of the insurance of the diplomacy of the insurance of the insurance of the insurance of the insurance of the

Anahtar Kelimeler:

Atıf Yapanlar
Bilgi: Bu yayına herhangi bir atıf yapılmamıştır.
Benzer Makaleler






Süleyman Demirel Üniversitesi Vizyoner Dergisi

Alan :   Sosyal, Beşeri ve İdari Bilimler

Dergi Türü :   Uluslararası

Metrikler
Makale : 687
Atıf : 3.805
2023 Impact/Etki : 0.389
Süleyman Demirel Üniversitesi Vizyoner Dergisi