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"Classifying D/s Profiles Without Prior Assumptions: An Application of Cluster Analysis to Social Data".

Authors
  • La Corte, Julie C1
  • 1 Department of Mathematics, Computer Science & Engineering, Georgia State University, Atlanta, Georgia, USA. , (Georgia)
Type
Published Article
Journal
Journal of homosexuality
Publication Date
Jul 03, 2023
Volume
70
Issue
8
Pages
1549–1584
Identifiers
DOI: 10.1080/00918369.2022.2036534
PMID: 35166194
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Dominant/submissive role-play (D/s) is associated with specialized roles including Mistress, Master, Slave, Switch, Sadist, and Masochist. The current study uses cluster analysis to provide empirical evidence that no binary opposition or single spectrum constitutes a workable typology of individuals based on their affinities for these roles. The optimality of a particular choice of clustering scheme, including the number of clusters, is established using a replication technique which is presented in detail. A large number (n = 236,353) of individualized results (profiles) generated by the BDSM Test, a popular anonymous web survey, were analyzed. We hypothesize a two-dimensional typology of D/s profiles as the inferential result of our cluster analyses.

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