Statistical Analysis for Inclusive Gender Equality
Practical Guidance for Analysing GEAM Data
This book guides the statistical analysis of data collected with the GEAM questionnaire. It seeks to inspire and provide concrete suggestions for taking advantage of GEAM data that goes beyond descriptive statistics. The book addresses gender equality working groups (practitioners, gender specialists, administrative staff) who have collected data with the GEAM or another survey in their organisation, but are unsure how to analyse it in more detail. Each chapter is a collaboration between equality practitioners and statisticians, allowing examples from different contexts to be included. As such it introduces the main GEAM variables and how they related to main equality topics such as work-life balance, perceptions of discrimination, organisational culture and climate or experiences of sexual violence. The thematic focus is backed up by R code snippets to facilitate the reproduction of similar analysis with practitioners’ own data.
Gender Equality Plan, Gender Equaliy Audit, Equality Data Monitoring, Intersectionality, Descriptive statistics, Statistical analysis
Preface
This book offers practical, in-depth guidance on analyzing data collected through the Gender Equality Audit and Monitoring (GEAM) questionnaire. It aims to inspire and equip users to move beyond basic descriptive statistics, encouraging deeper exploration of the thematic issues underlying gender equality.
It is intended for members of gender equality working groups, including professionals, gender specialists, administrative staff, and other stakeholders who have collected data using GEAM in their organisations but are uncertain about how to analyse it in greater depth.
Each chapter represents a collaboration between gender equality practitioners and academic statisticians and data analysts. Cases use real-world data from different Higher Eduaction organisations across Europe. Running thematic analysis side by side with the R code used, faciliates to kick-start similar analysis in different organisations.
The statistical analyses presented in this manual encompass methodologies ranging from univariate and bivariate analyses to describe general patterns, to more advanced techniques such as multivariate analysis, logistic and linear regressions, hypothesis testing, and others. Modern data visualisation tools are also covered, enabling results to be represented in a clear and accessible manner. All of this aims to equip users with analytical skills to extract meaningful and evidence-based conclusions, essential for implementing policies and actions to promote gender equality.
The development of GEAM questionnaire began during the ACT project Communities of PrACTice for Accelerating Gender Equality and Institutional Change in Research and Innovation across Europe (2018–2021). Subsequently, as part of the INSPIRE project Building Europe’s Centre of Excellence on Inclusive Gender Equality in R&I, the GEAM tool has been adapted to better address the needs of academics, administrative staff, and university students across various organisations.
In this manual, users will find not only a technical resource but also a starting point for fostering an organisational culture rooted in gender equality through informed analysis and evidence-based decision-making.
Acknowledgements
The editors want to thank especially the Municipality of Brescia and Katherine Palomino Carrillo from IBEC (Institute for Bioengineering of Catalonia), as well as one additional anonymous organisation for conducting a GEAM survey and providing access to their data for the elaboration of this book.
License
The work contained in this document is subjected to a Creative Commons license (https://creativecommons.org/licenses/by-nc-sa/4.0/).