Do different educational pairings lead to different fertility outcomes? A cohort perspective for the Greek case
Vienna Yearbook of Population Research (Vol. 15), pp. 215–237, 2017
The compositional effects of education and employment on Greek male and female fertility rates during 2000–2014
Demographic Research, 36(47), pp. 1435-1452, 2017
Likert Scales Require Validation before Application - Another Cautionary Tale
@article{Michalopoulou2017,title = {Likert Scales Require Validation before Application - Another Cautionary Tale},journal = {BMS Bulletin of Sociological Methodology/ Bulletin de Methodologie Sociologique},year = {2017},volume = {134},number = {1},pages = {5-23},author = {Michalopoulou, C.}}
Quantifying gender distances in education, occupation and employment
@article{doi:10.10.1108/EDI-11-2016-0106,
author = {Symeonaki Maria and Filopoulou Celestine},
title ={Quantifying gender distances in education, occupation and employment},
journal = {Equality, Diversity and Inclusion: An International Journal},
volume = {36},
number = {4},
pages = {340-361},
year = {2017},
doi = {10.10.1108/EDI-11-2016-0106,},
URL = {
https://doi.org/10.1108/EDI-11-2016-0106
},
eprint = {
https://doi.org/10.1108/EDI-11-2016-0106
}
,
abstract = { Purpose The purpose of this paper is to investigate the role of gender in education, occupation and employment in Southern Europe and more specifically in Greece, Italy, Portugal and Spain. The goal is to provide measures that can trace gender differences with respect to their educational and employment features in these countries, explore whether these differences converge over time and compare the patterns observed in each country given their socio-economic similarities.Design/methodology/approach This paper uses raw data drawn from the European Social Survey (ESS) for the decade 2002-2012. It provides a method for quantifying gender differences in education, occupation and employment and their evolution over time based on distance measures.Findings The results reveal that gender distances in education have gradually subsided in these countries. However, occupational choices differ steadily over the years for all countries. The paper provides, therefore, solid evidence that equalizing the level of education between men and women during those years did not result in a decrease in the occupational distances between them. Moreover, based on the latest round the findings suggest that men and women are equally likely to having experienced unemployment within the last five years.Research limitations/implications Further research could be done to include results based on raw data from the seventh round of the ESS. This may provide valuable information for Spain and Portugal who did participate in this round.Social implications This research implies that more needs to be done to accelerate progress in order to achieve gender occupational equality in Southern Europe.Originality/value This paper draws attention to issues concerning gender differences in education, horizontal and vertical segregation and employment for which it provides distance measures and evidence of how they have evolved over time, based on raw data analysis from the ESS. }
}
author = {Symeonaki Maria and Filopoulou Celestine},
title ={Quantifying gender distances in education, occupation and employment},
journal = {Equality, Diversity and Inclusion: An International Journal},
volume = {36},
number = {4},
pages = {340-361},
year = {2017},
doi = {10.10.1108/EDI-11-2016-0106,},
URL = {
https://doi.org/10.1108/EDI-11-2016-0106
},
eprint = {
https://doi.org/10.1108/EDI-11-2016-0106
}
,
abstract = { Purpose The purpose of this paper is to investigate the role of gender in education, occupation and employment in Southern Europe and more specifically in Greece, Italy, Portugal and Spain. The goal is to provide measures that can trace gender differences with respect to their educational and employment features in these countries, explore whether these differences converge over time and compare the patterns observed in each country given their socio-economic similarities.Design/methodology/approach This paper uses raw data drawn from the European Social Survey (ESS) for the decade 2002-2012. It provides a method for quantifying gender differences in education, occupation and employment and their evolution over time based on distance measures.Findings The results reveal that gender distances in education have gradually subsided in these countries. However, occupational choices differ steadily over the years for all countries. The paper provides, therefore, solid evidence that equalizing the level of education between men and women during those years did not result in a decrease in the occupational distances between them. Moreover, based on the latest round the findings suggest that men and women are equally likely to having experienced unemployment within the last five years.Research limitations/implications Further research could be done to include results based on raw data from the seventh round of the ESS. This may provide valuable information for Spain and Portugal who did participate in this round.Social implications This research implies that more needs to be done to accelerate progress in order to achieve gender occupational equality in Southern Europe.Originality/value This paper draws attention to issues concerning gender differences in education, horizontal and vertical segregation and employment for which it provides distance measures and evidence of how they have evolved over time, based on raw data analysis from the ESS. }
}
Improving Likert Scale Raw Scores Interpretability with K-means Clustering
@article{doi:10.1177/0759106317710863,
author = {Catherine Michalopoulou and Maria Symeonaki},
title ={Improving Likert Scale Raw Scores Interpretability with K-means Clustering},
journal = {Bulletin of Sociological Methodology/Bulletin de Methodologie Sociologique},
volume = {135},
number = {1},
pages = {101-109},
year = {2017},
doi = {10.1177/0759106317710863},
URL = {
https://doi.org/10.1177/0759106317710863
},
eprint = {
https://doi.org/10.1177/0759106317710863
}
,
abstract = { In this article, by applying k-means clustering, cut-off points are obtained for the recoding of raw scale scores into a fixed number of groupings that preserve the original scoring. The method is demonstrated on a Likert scale measuring xenophobia that was used in a large-scale sample survey conducted in Northern Greece by the National Centre for Social Research. Applying split-half samples and fuzzy c-means clustering, the stability of the proposed solution is validated empirically. Testing its performance against three single indicators of xenophobia shows that it differentiates well between non-xenophobic and xenophobic respondents. The proposed method may be easily applied to facilitate interpretation by providing a more concise and meaningful âprofileâ of Likert scale (or subscale) raw scores especially the negative and positive ends of the scale for evaluation and social policy purposes. }
}
author = {Catherine Michalopoulou and Maria Symeonaki},
title ={Improving Likert Scale Raw Scores Interpretability with K-means Clustering},
journal = {Bulletin of Sociological Methodology/Bulletin de Methodologie Sociologique},
volume = {135},
number = {1},
pages = {101-109},
year = {2017},
doi = {10.1177/0759106317710863},
URL = {
https://doi.org/10.1177/0759106317710863
},
eprint = {
https://doi.org/10.1177/0759106317710863
}
,
abstract = { In this article, by applying k-means clustering, cut-off points are obtained for the recoding of raw scale scores into a fixed number of groupings that preserve the original scoring. The method is demonstrated on a Likert scale measuring xenophobia that was used in a large-scale sample survey conducted in Northern Greece by the National Centre for Social Research. Applying split-half samples and fuzzy c-means clustering, the stability of the proposed solution is validated empirically. Testing its performance against three single indicators of xenophobia shows that it differentiates well between non-xenophobic and xenophobic respondents. The proposed method may be easily applied to facilitate interpretation by providing a more concise and meaningful âprofileâ of Likert scale (or subscale) raw scores especially the negative and positive ends of the scale for evaluation and social policy purposes. }
}
Statistical internationalism: From Quetelet{'}s census uniformity to Kish{'}s cross-national sample survey comparability
@article{Michalopoulou2016,title = {Statistical internationalism: From Quetelet{'}s census uniformity to Kish{'}s cross-national sample survey comparability},journal = {Statistical Journal of the IAOS},year = {2016},volume = {32},number = {4},pages = {545-554},author = {Michalopoulou, C.}}
Intergenerational educational mobility in Greece: Transitions and social distances
@article{doi:10.1080/03610926.2014.957857,
author = {M. Symeonaki and G. Stamatopoulou and C. Michalopoulou},
title = {Intergenerational educational mobility in Greece: Transitions and social distances},
journal = {Communications in Statistics - Theory and Methods},
volume = {45},
number = {6},
pages = {1710-1722},
year = {2016},
publisher = {Taylor & Francis},
doi = {10.1080/03610926.2014.957857},
URL = {
https://doi.org/10.1080/03610926.2014.957857
},
eprint = {
https://doi.org/10.1080/03610926.2014.957857
}
}
author = {M. Symeonaki and G. Stamatopoulou and C. Michalopoulou},
title = {Intergenerational educational mobility in Greece: Transitions and social distances},
journal = {Communications in Statistics - Theory and Methods},
volume = {45},
number = {6},
pages = {1710-1722},
year = {2016},
publisher = {Taylor & Francis},
doi = {10.1080/03610926.2014.957857},
URL = {
https://doi.org/10.1080/03610926.2014.957857
},
eprint = {
https://doi.org/10.1080/03610926.2014.957857
}
}