SavedAdd your journal

Journals / Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2013 / Cilt: 27 - Sayı: 3

Analyzıng the relatıonshıps between the characterıstıcs of people demandıng house and the characterıstıcs of the house demanded by usıng multıvarıate correspondence analysıs: The case of Ataturk Unıversıty staff

Konut talep edenlerin özellikleriyle talep edilen konutun özellikleri arasındaki ilişkinin çoklu uyum analizi yöntemi ile incelenmesi: Atatürk Üniversitesi personeli örneği

Abdulkerim KARAASLAN
Hayri ABAR
Pages
323–339
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Then, the relations between the variables obtained from multivariate correspondence analysis were interpreted using graphs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the relationships between the characteristics of the Ataturk University staff who have housing demand and the characteristics of the house demanded were analyzed.
📊
Key Findings & Data:In the study a survey carried out on 1959 Ataturk University staff and the data obtained from the individuals who expressed to have housing demand were analyzed by using multivariate correspondence analysis which is one of the techniques used for multivariate analysis of the categorical data.
💡
Conclusion & Impact:Then, the relations between the variables obtained from multivariate correspondence analysis were interpreted using graphs.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, the relationships between the characteristics of the Ataturk University staff who have housing demand and the characteristics of the house demanded were analyzed. In the study a survey carried out on 1959 Ataturk University staff and the data obtained from the individuals who expressed to have housing demand were analyzed by using multivariate correspondence analysis which is one of the techniques used for multivariate analysis of the categorical data. Then, the relations between the variables obtained from multivariate correspondence analysis were interpreted using graphs.

Özet

Bu çalışmada konut talebi olan Atatürk Üniversitesi personelinin özellikleri ile talep edilen konutun özellikleri arasındaki ilişkiler incelenmiştir.Çalışmada 1959 Atatürk Üniversitesi personeline anket icra edilmiş ve konut talep edeceğini belirten bireylerden elde edilen veriler çok değişkenli kategorik veri analizi için kullanılan tekniklerden biri olan çoklu uyum analizi tekniğiyle analiz edilmiştir. Daha sonra çoklu uyum analizi ile değişkenlere ait elde edilen ilişkiler grafikler kullanılarak yorumlanmıştır.

🔖

Cite This Article

KARAASLAN, A., ABAR, H. (2022). Analyzıng the relatıonshıps between the characterıstıcs of people demandıng house and the characterıstıcs of the house demanded by usıng multıvarıate correspondence analysıs: The case of Ataturk Unıversıty staff. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 27 - Sayı: 3, 323–339. https://ajindex.com/articles/453645

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Abdi, H. and Williams, L. J. (2010),
  2. Correspondence Analysis, Sage, Thousand Oaks. Alpar, R. (2011), Uygulamalı Çok Değişkenli İstatistiksel Yöntemler, 3. Basım, Detay Yayıncılık, Ankara.
  3. Beh, E. J. (2004), “Simple Correspondence Analysis: A Bibliographic Review”, International Statistical Review, 72(2), ss. 257-284.
  4. Berry, J.W. (1980). Acculturation as varieties of adaptation. In A. M. Padilla (Ed.), Acculturation: Theory, models and some new findings, 9-25.
  5. Boulder, CO: Westview. Bourdieu,P. and Wacquant, J.D. (1992). An İnvitation to Reflexive Sociology Chicago University Pres, Chicago Constant, A., Gataullina, L. ve Zimmermann, K.F. (2006).
  6. Gender, Ethnic Identity and Work. IZA Discussion Papers, 2420. Erişim Tarihi: 20.01.2012, http://ftp.iza.org/dp2420.pdf.
  7. Çakmak, Z., Baş, M., Yıldırım, E. (2012) “Gri İlişkisel Analiz ve Uyum Analizi ile Bir İşletmede Karşılaşılan Üretim Hatalarının İncelenmesi”, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 17(1), ss. 123-142.
  8. Dornbusch, R. and Fıscher, S. (1994).
  9. Macro Economics, Sixth Edition, Mc Graw-Hill İnc. Tarafından verilen basım hakkı ile, İstanbul:
  10. Literatür Yayıncılık. Dönmez M. (1997), Eskişehir’de Ailelerin Konut Değiştirmelerinde Etkili Olan Faktörlerin Belirlenmesi. (Yayınlanmamış Yüksek Lisans Tezi). Ankara: Ankara Üniversitesi Fen Bilimleri Enstitüsü. Durkaya, M. ve Yamak, R. (2004). “Türkiye’de Konut Piyasasının Talep Yönlü Analizi”. İktisat, İşletme ve Finans Dergisi, 19 (217), ss. 75-83
  11. Ermisch, J. (1996). “The Demand for Housing in Britain and Population Ageing:Microeconometric Evidence”. Economica, 63(251), ss. 383–404. Galor, O. ve Stark, O. (1990). “Migrants’ Savings, The Probability of Return Migration and Migrant’s Performance”. International. Economic Review, 31, ss. 463-467.
  12. Gelfand, J. E. (1966). “The Credit Elasticity of Lower-Middle Income Housing Demand”. Land Economics, Vol.42, No.4, ss. 464–472. Greenacre, M. (2007),
  13. Correspondence Analysis in Practise, Second Edition, Chapman Hall/CRC, Barcelona. Greenacre, M. and Blasius, J. (2006), Multiple Correspondence Analysis and Related Methods, Chapman Hall/CRC, London. Goodman, A.C. (1990). “Demographics of Individual Housing Demand”. Regional Science and Urban Economics, 20, ss. 83-102.
  14. Güriş, S., Çağlayan, E., Ün, T. (2011). “Estimating of Probability of Home- ownership in Rural and Urban Areas: Logit, Probit and Gompit Model”. European Journal of Social Sciences, 21, ss. 405-411.
  15. Haurin, D.R. and Stuart,