EconPapers    
Economics at your fingertips  
 

Evaluation of Personel E-Commerce Applications with Categorical Data Analysis Methods

Çiğdem Arıcıgil Çilan and Sultan Kuzu

Alphanumeric Journal, 2013, vol. 1, issue 1, 27-32

Abstract: Categorical Data Analysis Methods, a collection of methods used in the analysis of categorical data sets. Especially in the field of Social Sciences, categorical data sets commonly used in studies is usually nominal, ordinal and discrete variables, which consists of a limited category. These data sets are based on analysis of contingency tables, and the investigation of the relationship between two categorical variables the non-parametric methods are applied in accordance with the number of variables and category scales. In this study, the personal e-commerce applications in Turkey, a profile of the overall dimensions determined by descriptive statistics and personal relationship between e-commerce applications, demographic factors will be investigated in accordance with the methods Categorical Data Analysis. To this end, in 2012, organized by the Statistics Institute of Turkey Household ICT Usage Survey micro-data will be used.

Keywords: Categorical Data Analysis; E-commerce (search for similar items in EconPapers)
JEL-codes: L81 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.alphanumericjournal.com/media/Issue/vo ... lizi-yon_HcTsdVP.pdf (application/pdf)
https://alphanumericjournal.com/article/kisisel-e- ... e-degerlendirilmesi/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:anm:alpnmr:v:1:y:2013:i:1:p:27-32

Access Statistics for this article

More articles in Alphanumeric Journal from Bahadir Fatih Yildirim
Bibliographic data for series maintained by Bahadir Fatih Yildirim ().

 
Page updated 2025-03-19
Handle: RePEc:anm:alpnmr:v:1:y:2013:i:1:p:27-32