Latent class analysis for measuring Turkish People's future expectations for Turkey
Çiğdem Arıcıgil Çilan
Journal of Applied Statistics, 2014, vol. 41, issue 3, 519-529
Abstract:
The aim of this study is to classify the Turkish People and measure the probability of their positive or negative expectations according to their 5-year expectations on Turkish Economy, Social Rights and Freedom, Rendering of the Public Services, Government Transparency and Turkey's Reputation. For this purpose latest data from the Turkish Statistical Institute's Life Satisfaction Survey 2011 was used and latent class analysis (LCA) was utilized on this data. For this study, unrestricted and restricted models of LCAs were performed, and it is observed that the three-class unrestricted model was found to be the best fit. Latent Class probabilities were interpreted and each class was named based on the calculated conditional probabilities.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2013.842961 (text/html)
Access to full text is restricted to subscribers.
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:taf:japsta:v:41:y:2014:i:3:p:519-529
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20
DOI: 10.1080/02664763.2013.842961
Access Statistics for this article
Journal of Applied Statistics is currently edited by Robert Aykroyd
More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().