[Commlist] Workshop Call for papers - Intersectional analysis and quantitative methods

/Call for papers/

*Intersectional analysis and quantitative methods*

Theoretical and empirical advancements, challenges and possibilities in 
the research of intersectional inequalities

*Workshop organised, April 10^th and 11^th , 2025*

/Venue/

Loughborough University

Midlands campus, Loughborough, UK

/Organiser/

Adrian Leguina, Department of Criminology, Sociology and Social Policy, 
Loughborough University

/Organisation committee/

Fran Azpitarte, Adrian Leguina, Line Nyhagen, Simone Varriale

/Funded by/

The British Academy & the School of Social Sciences, Loughborough University

Over the last two decades, several scholars have refined 
operationalisations of intersectionality by exploring its various 
meanings and how they reflect different theoretical concerns. For 
example, McCall's (2005) influential piece calls for a more nuanced 
approach regarding the use of analytical categories, synthesised in 
three empirical approaches: Anti-categorical (oriented to the study of 
the experiences lived by neglected intersecting social groups), 
intracategorical (the study inequalities within different social groups) 
and intercategorical (to use existing analytical categories to study 
inequalities between different social groups). Various disciplines are 
measuring the effects of intersecting inequalities on, for example, 
health (Bauer et al 2021), education (Keller et al 2023), and economic 
(Dubrow 2013) outcomes. Some are focused on the technical side of 
statistical methods for the analysis of intersecting inequalities (Evans 
et al 2020). Others have developed scales that measure intersectional 
identities and perceptions of discrimination (Stirratt et al 2008) or 
via the critical race theory lenses are challenging the neutrality of 
numbers and their interpretations, as well as the acceptance of 
categorisations as natural (Garcia et al. 2018).

These exciting methodological advancements provide the backdrop to bring 
together expert knowledge from multiple disciplines into dialogue to 
systematically continue the methodological debates on studying 
intersecting inequalities quantitatively. The main premise of the 
workshop is that despite clear conceptual and methodological 
differences, researchers from the social, health and behavioural 
sciences, among many others, share a growing interest in incorporating 
intersectional approaches into quantitative research. This 
multidisciplinary workshop will provide a unique opportunity to learn 
together and discuss some of the current advancements, major 
methodological challenges and new opportunities provided by quantitative 
intersectional analysis. This includes but is not limited to, papers 
addressing the following issues:

  * Empirical studies using classical and/or radical statistical methods;
  * Methodological reflections and intersectional theory;
  * The measurement of identity categories with survey questionnaires
    and other instruments;
  * Operationalising power structures and intersecting categories using
    quantitative methods;
  * Data gathering, sampling and multiple intersecting groups;
  * Generalising findings from specific contexts to broader populations;
  * The use of secondary data sources 9official statistics, online 
sources);
  * Intersectionality and mixed methods;
  * Text mining, data science, computational social sciences and
    intersectional analysis.
To facilitate discussion and meaningful exchanges, workshop attendees 
will be asked to submit an extended abstract or full paper ahead of time.

Although the workshop is planned as an in-person event, _remote delivery 
of papers will be considered_. Please indicate with your submission if 
you prefer to take part remotely.

Possibilities for a publication based on the workshop will be explored 
and discussed during the event.

/Keynotes/

To be announced

/Important dates/

  * Deadline for abstracts (200 – 300 words): *January 30^th , 2025*.
  * Information about acceptance: February 7^th , 2025.
  * Extended abstract (500 – 1000 words) or draft paper (4000 – 6000
    words): April 1^st , 2025.

*/Please submit your abstracts to Adrian Leguina 
(/**/(A.Leguina /at/ lboro.ac.uk)/* <mailto:(A.Leguina /at/ lboro.ac.uk)>*/)/*

*//*

*/Additional information about the workshop will be provided on the 
project website: /*

*/https://gqia.lboro.ac.uk/workshop//* 
<https://gqia.lboro.ac.uk/workshop/>*//*

//

/References/

Bauer, G. R., Churchill, S. M., Mahendran, M., Walwyn, C., Lizotte, D., 
& Villa-Rueda, A. A. (2021). Intersectionality in quantitative research: 
A systematic review of its emergence and applications of theory and 
methods. /SSM - Population Health/, /14/, 100798.

Dubrow, J. (2013). Why Should We Account for Intersectionality in 
Quantitative Analysis of Survey Data? In V. Kallenberg, J. Meyer, & J. 
M. Müller (Eds.), Intersectionality und Kritik: Neue Perspektiven für 
alte Fragen (pp. 161–177). Springer Fachmedien.

Evans, C. R., Leckie, G., & Merlo, J. (2020). Multilevel versus 
single-level regression for the analysis of multilevel information: The 
case of quantitative intersectional analysis. /Social Science & 
Medicine/, 245, 112499.

Garcia, N. M., López, N., & Vélez, V. N. (2018). QuantCrit: Rectifying 
quantitative methods through critical race theory. /Race Ethnicity and 
Education/, /21/(2), 149–157.

Keller, L., Lüdtke, O., Preckel, F., & Brunner, M. (2023). Educational 
Inequalities at the Intersection of Multiple Social Categories: A n 
Introduction and Systematic Review of the Multilevel Analysis of 
Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) Approach. 
/Educational Psychology Review/, /35/(1), 31.

McCall, L. (2005). The Complexity of Intersectionality. /Signs: Journal 
of Women in Culture and Society /30(3), 1771–1800.

Stirratt, M. J., Meyer, I. H., Ouellette, S. C., & Gara, M. A. (2008). 
Measuring identity multiplicity and intersectionality: Hierarchical 
Classes Analysis (HICLAS) of sexual, racial, and gender identities. 
/Self and Identity/, /7/(1), 89–111.


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