The comparison of log-linear modelling and logistic regression
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
With the growing interest in social researchs, categorical data analysis has become more important. In this study logistic regression, lojit models and log-linear models of categorical data analysis methods are discussed and compared with the statistical properties differently. Researchs? selection criteria for lojistic regression or log-linear models were examined and the two applications were applied on the Turkish Statistical Institute 2009 Household Budget Survey data. In the first application, variables of the model in the final stage were compared by log-linear models and logistic regression. In the second application, the relationship between the log-linear models and logit models were discussed and for two and three-way contingency tables logit model parameter estimates are shown to be equal to the log-linear model parameter estimates.Key Words :Categorical Data, contingency tables, logistic regression, lojit model, log-linear models
Author
Gülsüm Merve Oktay
How to Cite
Gülsüm Merve Oktay (Master Thesis). The comparison of log-linear modelling and logistic regression, 2012, Gazi University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Gazi University
- Experimental development of the interfacial bond-slip model between textile reinforced mortar strips and masonry walls(2025)
- Occupational accident analysis and modelling in oil and gas drilling sector Turkey(2021)
- XVI. yüzyıl Anadolu'sunda Oğuzların Karkın Boyu(2004)
- The ideological construction of regime debate in Turkey by the press in the context of 2007 presidential elections(2012)
- Sharing of real life geometry samples via a social learning environment: A case study(2021)
- The use of verbal memory in the context of sustainability and power at the museums of Turk(2010)
