TY - JOUR
T1 - Measuring Gender Gap from a Poset Perspective
AU - Di Brisco, Agnese Maria
AU - Farina, Patrizia
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media Dordrecht.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - During the last two decades, interest towards sampling survey on gender roles perceived by the population has significantly grown in developed as well as in developing countries. The micro-perspective of research improves the knowledge of gender discrimination dynamics even among subgroups. At the same time, it stands as a methodological challenge, as this approach needs an adequate statistical method for the analysis of individual data. This contribute aims firstly at offering the opportunity of increasing the knowledge about gender disparities through individual opinions and perceptions. Secondly, it aims at enlightening the pertinence of the poset methodology for the analysis of ordinal variables and response profiles. To this purpose, we collected data about 16 African countries included in Health Demographic Survey and we analysed a battery of questions about decision-making dimension by means of a poset methodology. We summarized the results of the poset analysis by means of descriptive indicators and we investigated their relation with the Global Gender Gap index (GGGI), an official index released every year by the World Economic Forum.
AB - During the last two decades, interest towards sampling survey on gender roles perceived by the population has significantly grown in developed as well as in developing countries. The micro-perspective of research improves the knowledge of gender discrimination dynamics even among subgroups. At the same time, it stands as a methodological challenge, as this approach needs an adequate statistical method for the analysis of individual data. This contribute aims firstly at offering the opportunity of increasing the knowledge about gender disparities through individual opinions and perceptions. Secondly, it aims at enlightening the pertinence of the poset methodology for the analysis of ordinal variables and response profiles. To this purpose, we collected data about 16 African countries included in Health Demographic Survey and we analysed a battery of questions about decision-making dimension by means of a poset methodology. We summarized the results of the poset analysis by means of descriptive indicators and we investigated their relation with the Global Gender Gap index (GGGI), an official index released every year by the World Economic Forum.
KW - Gender gap measures
KW - Multidimensional analysis
KW - Ordering
KW - Ordinal variables
KW - Partial order theory
UR - http://www.scopus.com/inward/record.url?scp=85013826002&partnerID=8YFLogxK
U2 - 10.1007/s11205-017-1582-8
DO - 10.1007/s11205-017-1582-8
M3 - Article
SN - 0303-8300
VL - 136
SP - 1109
EP - 1124
JO - Social Indicators Research
JF - Social Indicators Research
IS - 3
ER -