1st Edition
Intersectional Multilevel Modelling Theory and Applications in Stata
Preface
1 Introduction: intersectional multilevel modelling
Part 1 Quantitative multilevel approaches to intersectional analysis: theoretical and statistical considerations
2 Intersectionality and quantitative approaches
3 Key concepts in (intersectional) multilevel modelling
Part 2 Practical applications of intersectional multi-level modelling
4 Data sources and pre-processing
5 Intersectional multilevel linear modelling in practice
6 Intersectional multilevel binary logistic modelling in practice
7 Intersectional multilevel ordinal logistic modelling in practice
8 Advanced extensions in applying intersectional multilevel modelling
9 Conclusion: Towards transformative intersectional quantitative practice
Biography
Anne Laure Humbert is a researcher at the University of Gothenburg, Sweden.
“In this much-needed handbook, Professor Humbert provides a clear and comprehensive guide to studying intersectionality in individual outcomes through multilevel modelling. The book covers the entire research process – from defining intersections and estimating models to visualising and interpreting results – while critically connecting empirical findings back to intersectionality theory.”
- George Leckie, Professor of Social Statistics and Co-Director of the Centre for Multilevel Modelling, University of Bristol, UK.
“More than a methods manual, this timely book aims to help readers bridge statistical and technical proficiency with the feminist research ethos and transformative commitment of intersectionality. Because it acknowledges the inherent tensions involved in this bridging work, it will be a valuable resource for students and researchers grappling with the challenges of doing theoretically-informed critical quantitative analysis in practice.”
- Dr Jenny Chanfreau, Co-organiser of the FemQuant Network and Assistant Professor in Sociology, University of Sussex, UK.
