Our team is working on a gender analysis of both students and staff at AMU.
For teaching staff, analyses have been carried out at the level of disciplinary sectors (global level) but also at the finer levels of components and departments, in order to highlight potential disparities according to disciplines. This also makes it possible to take into account Simpson's paradox*, which explains why statistics calculated at a global versus detailed level can lead to different conclusions.
An analysis of the distribution of women and men according to grade or advancement in studies, via the calculation of a parity index (Adverse Impact: www.AdverseImpact.org), was also carried out in order to highlight the glass ceiling phenomena.
The analyses are not all complete, and others will be put online soon. We let you discover the first results in the documents below. The documents are likely to evolve as the data are updated.
Enjoy your reading and do not hesitate to contact us with your suggestions!
https://plato.stanford.edu/entries/paradox-simpson/
Female and male students |
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The document below presents a gender analysis of student data from 2016 to 2020: evolution of enrolments and percentages of women and men by year, subject area and course; analysis of the success rate of women and men by year and subject area, comparison of the social situation of women and men; calculation of the adverse impact on the advancement of studies, etc. |
The Science and Technology sector |
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The document below presents an analysis in the Science and Technology sector of the distribution of women and men according to grades: PhD students, ATER, MCF, PU. An analysis of the Adverse Impact highlights the under-representation of women for certain grades or concerning promotions (PES and PEDR). The analysis is carried out by component: Faculty of Sciences, Poytech, Pyheas, Faculty of Sports Sciences and by department (Physics, Biology, Chemistry, Mathematics, Computer Sciences and Interactions, Mechanics, Arts and Techniques of Image and Sound, Social Sciences for the Sciences, Earth Environment Sciences, Oceanography, etc.). |
The Law and Political Sciencesectors |
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The document below presents an analysis of the distribution of women and men in the Law and Political Science sectors according to their grade (MCF or PU). The analysis is accompanied, when the number of staff allows it, by a calculation of the Adverse Impact to measure the glass ceiling phenomena. |
The Economics and Management sectors |
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The document below presents an analysis of the distribution of women and men in the Economics and Management sectors according to their grade (MCF or PU). The analysis is accompanied, when the numbers allow it, by a calculation of the Adverse Impact to measure the glass ceiling phenomena. |
The Healthsector |
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Analysis in progress |
| The ALLSHsector |
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Analysis in progress |
The Pluridisciplinarysector |
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Analysis in progress |
Social balance sheets and comparative situation reports
Gender analysis of student data from 2016 to 2020
Gender analysis of staff in the Science and Technology sectors
Gender analysis of staff in the Law and Political Science sectors
Gender analysis of staff in the Economics and Management sectors
Adverse Impact: What is it? How to calculate it?
MESRI report on the situation of women in higher education in 2020