Master'sOpen Access

Housing market: An application for measuring housing buying behaviors of consumers in Gümüşhane

2019
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Advisor: Dr. Öğr. Üyesi Emel Yıldız

Abstract (EN)

The aim of this study is to investigate the effects of four independent variables on Property Attribute (PA), Property View (PV), Property Surrounding (PS) and Superstition (S) on the intention of buying a house. The study also examined whether demographic factors caused a significant difference in the intention of buying a house. The data of this study were collected by using face to face questionnaire ''by hand'' method. 600 questionnaires were distributed to consumers (self-employment, government official, artificer, worker, contracted personnel, other employees, retired and housewives) who want to buy housing in Gümüşhane and 522 of them were found suitable for analysis. Statistical Package for Social Sciences (SPSS 22) software was used to analyze the data collected through the survey. The reliability of the scales used in the study was tested with Cronbach's Alpha coefficient method. Factor Analysis was used for the validity of the scales. In the study "t Test" was used to determine whether there was a difference between the two sample groups in terms of means and ''Anova test" was used to determine whether there was a difference in means between more than two samples. Finally, Structural Equation Model was used to measure research hypotheses. According to the findings of the analysis, there is a positive effect of Property Attribute, Property View, Property Surrounding and Superstition variables on the intention of buying housing. When the effect of demographic factors on the intention of buying a house is examined, it is seen that gender, marital status, age, income groups and number of properties have a significant difference on the intention of buying a house; it was found that the education level and occupation did not cause a significant difference on the intention of buying housing.

Author

Dr. Özlem Şibil

How to Cite

Özlem Şibil (Master Thesis). Housing market: An application for measuring housing buying behaviors of consumers in Gümüşhane, 2019, Gümüşhane University.

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