Bayesian multilevel modeling for the intersections of race, gender, and class (Record no. 532268)

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fixed length control field 01732nam a22001337a 4500
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fixed length control field 260112b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Much, Melina
245 ## - TITLE STATEMENT
Title Bayesian multilevel modeling for the intersections of race, gender, and class
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Political Research Quarterly
300 ## - PHYSICAL DESCRIPTION
Extent 78(3), Sep, 2025: p.985-1006
520 ## - SUMMARY, ETC.
Summary, etc Intersectionality is widely recognized as one of the largest contributions to the study of race, gender, and class across the academy. However, the quantitative operationalization of intersectionality within political science is often unsatisfactory. I provide evidence that the Bayesian multilevel model is an accessible and flexible tool for understanding intersectional dynamics in political behavior. Using both a synthetic simulation and a real-world example with the American National Election Survey (ANES), I show how Bayesian multilevel models increase our inferential understanding of group-based heterogeneity in public opinion and political behavior. Conventional techniques, such as interaction terms, frequently yield estimates that are obscured by considerable noise, making it challenging to discern meaningful patterns. In contrast, the Bayesian multilevel model excels at revealing underlying patterns in small sample-size environments. In doing so, the model better captures the interwoven nature of race, gender, and class that often goes unnoticed in political science research.-Reproduced


https://journals.sagepub.com/doi/full/10.1177/10659129251335233?_gl=1*1lygyfc*_up*MQ..*_ga*MTQxMjM4NDYzMi4xNzY4MTk2NDY2*_ga_60R758KFDG*czE3NjgxOTY0NjYkbzEkZzEkdDE3NjgxOTY0NzEkajU1JGwwJGgxMTk2MTM3OTk1
773 ## - HOST ITEM ENTRY
Main entry heading Political Research Quarterly
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2026-01-12 78(3), Sep, 2025: p.985-1006 AR137903 2026-01-12 Articles

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