528
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

Sexual Experiences and Beliefs Vary by Patterns of Pornography Genre Preferences Among Women

, , , , ORCID Icon &
Pages 659-672 | Published online: 06 Feb 2023
 

Abstract

Pornography use is multidimensional, yet most studies of the topic use variable-oriented methods (e.g., frequency of use) that reduce the experience to a single dimension. In this study, we sought to identify different multidimensional patterns of pornography genre preferences among a sample of women (n = 206) and examine how those patterns are differentially associated with sexual experiences and beliefs examined in previous literature. Latent Class Analysis uncovered four patterns (or classes): Heterogeneous (39%), Traditionally Feminine (27%), Female Pleasure (23%) and Rough/violent (11%). Class membership was differentially predicted by prior sexual victimization, sexual esteem, and diverse sexual experiences while controlling for frequency of use. These findings suggest that genre preference could account for much of the mixed findings of prior work that measured pornography use with unidimensional approaches.

Disclsoure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 193.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.