Thesis supervisor: Tamás Rudas
Location of studies (in Hungarian): Eötvös Loránd Unviersity Abbreviation of location of studies: ELTE
Description of the research topic:
These two contemporary approaches to modeling the association structure of multivariate data use graphs to visualize the models, but attribute different interpretations to the graphs. The former aims at modeling direct effects, the latter emphasizes conditional independencies. SEM was originally designed for Gaussian data but extensions to deal with categorical data are available, GM can handle normal and discrete variables, and their mixtures, equally well. Both methods offer the possibility of path analysis. The research will establish the identical and different characteristics of these two approaches and will compare their usefulness in the analysis of various data sets.
Required language skills: english Number of students who can be accepted: 1
Deadline for application: 2017-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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