Publications

@article{Michalopoulou2015,title = {The implementation of the ten United Nations Fundamental Principles of Official Statistics: A comment},journal = {Statistical Journal of the IAOS},year = {2015},volume = {31},number = {3},pages = {373-374},author = {Michalopoulou, C.}}

@article{doi:10.1007/s11135-014-0021-z,
author = {M. Symeonaki, C. Michalopoulou and Kazani, A.},
title ={A fuzzy set theory solution to combining Likert items into a single overall scale (or subscales)},
journal = {Quality & Quantity: International Journal of Methodology},
volume = {49},
number = {2},
pages = {739–762},
year = {2015},
doi = {10.1007/s11135-014-0021-z},
URL = {
https://doi.org/10.1007/s11135-014-0021-z
},
eprint = {
https://doi.org/10.1007/s11135-014-0021-z
}
,
abstract = { Likert scales (or subscales) are usually constructed by summing up the items when the assessment of their psychometric properties has resulted in showing that the scale is both reliable and valid. This paper presents a methodology for developing a fuzzy set theory solution to combine Likert items into a single overall scale (or subscales). The proposed methodology puts together information produced by construct validity assessment, statistical analysis and experts’ knowledge produced during theory development, in a fuzzy inference system to develop a more accurate attitude measurement. The evaluation of the methodology presented is tested on a Likert scale that was used in a large-scale sample survey for measuring xenophobia in Northern Greece conducted by the National Centre for Social Research. The methodology can be applied with minor modifications to other data sets. }
}

@article{doi:10.1007/s11135-014-0118-4,
author = {Maria Symeonaki},
title ={Theory of fuzzy non homogeneous Markov systems with fuzzy states},
journal = {Quality & Quantity: International Journal of Methodology},
volume = {49},
number = {6},
pages = {2369-2385},
year = {2015},
doi = {10.1007/s11135-014-0118-4},
URL = {
https://doi.org/10.1007/s11135-014-0118-4
},
eprint = {
https://doi.org/10.1007/s11135-014-0118-4
}
,
abstract = { In this paper the theory of fuzzy logic and fuzzy reasoning is combined with the theory of Markov systems and the concept of a fuzzy non homogeneous Markov system with fuzzy states is introduced for the first time. This is an effort to deal with the uncertainty introduced in the estimation of the transition probabilities, especially when social mobility is being measured, and the fact of fuzzy states, in the sense that the categories cannot be precisely measured and are therefore fuzzy. A full description of the methodology is outlined and the basic parameters of the system are provided. Moreover, the expected population structure of the system is estimated in a closed analytic form and the asymptotic behaviour, variability of the state sizes of the system and the rate of convergence of the relative population structure are given. The proposed methodology is illustrated through an example of measuring intergenerational educational mobility. }
}

@article{doi:10.2304/pfie.2014.12.5.681,
author = {Maria A. Symeonaki and Glykeria A. Stamatopoulou},
title ={Exploring the Transition to Higher Education in Greece: Issues of Intergenerational Educational Mobility},
journal = {Policy Futures in Education},
volume = {12},
number = {5},
pages = {681-694},
year = {2014},
doi = {10.2304/pfie.2014.12.5.681},

URL = { 
        https://doi.org/10.2304/pfie.2014.12.5.681
    
},
eprint = { 
        https://doi.org/10.2304/pfie.2014.12.5.681
    
}
,
    abstract = { This article focuses on the study of intergenerational educational mobility in Greece. The primary purpose is to represent quantitatively the transitions of individuals, in order to determine whether and to what extent the educational levels attained are influenced by parental education. The authors use data drawn from the European Union Statistics on Income and Living Conditions and the ad hoc module on Intergenerational Transmission of Poverty (a supplement to the EU-SILC survey conducted on an annual basis). In order to explore the correlations between individuals' and their parents' education and to picture the magnitude and directions of their movements, four educational groups were formed, transition matrices were estimated and both absolute and relative mobility indices were calculated. Additionally, a synchronic cohort analysis was carried out to examine any variations among different birth cohorts born between 1939 and 1979. }
}