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Understanding Patriarchal Sexual Scripts in an Anonymous Survey Using Network Analysis

Heyne, Ragna Lou LU (2024) SIMZ21 20241
Graduate School
Abstract
This thesis explores patriarchal sexual scripts through network analysis of data collected in an anonymous survey with a final sample of N = 1.029 responses. The aim is both conceptual and methodological insofar as the project uses Gaussian Graphical Models to develop a radical feminist point about patriarchal sexuality. For this purpose, the concept patriarchal sexual scripts is developed from radical feminist theory and sexual script theory and operationalised into a short questionnaire. Data was collected using this questionnaire in an anonymous public survey and analysed through several methods (descriptive statistics, correlation analysis, regression analysis, factor analysis, network analysis) with a focus on network analysis, within... (More)
This thesis explores patriarchal sexual scripts through network analysis of data collected in an anonymous survey with a final sample of N = 1.029 responses. The aim is both conceptual and methodological insofar as the project uses Gaussian Graphical Models to develop a radical feminist point about patriarchal sexuality. For this purpose, the concept patriarchal sexual scripts is developed from radical feminist theory and sexual script theory and operationalised into a short questionnaire. Data was collected using this questionnaire in an anonymous public survey and analysed through several methods (descriptive statistics, correlation analysis, regression analysis, factor analysis, network analysis) with a focus on network analysis, within which four overarching themes can be detected: (1) sexual discomfort emerges as an overarching theme, (2) asymmetrical pleasure and phallocentrism are featured in all models, but configured differently according to gender, (3) masculine dominance emerges as a distinct theme for women, while (4) naturalized masculine initiative emerges as a distinct theme for men. These findings are interpreted to give a more nuanced account of radical feminist analysis of sexual intercourse and allow for a methodological discussion of the advantages and issues of network analysis in the context of understanding sexual scripts. (Less)
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author
Heyne, Ragna Lou LU
supervisor
organization
course
SIMZ21 20241
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Radical Feminism, Network Analysis, Sexual Scripts, Feminist Data Science, Survey Data
language
English
id
9170886
date added to LUP
2024-08-12 16:01:13
date last changed
2024-08-12 16:01:13
@misc{9170886,
  abstract     = {{This thesis explores patriarchal sexual scripts through network analysis of data collected in an anonymous survey with a final sample of N = 1.029 responses. The aim is both conceptual and methodological insofar as the project uses Gaussian Graphical Models to develop a radical feminist point about patriarchal sexuality. For this purpose, the concept patriarchal sexual scripts is developed from radical feminist theory and sexual script theory and operationalised into a short questionnaire. Data was collected using this questionnaire in an anonymous public survey and analysed through several methods (descriptive statistics, correlation analysis, regression analysis, factor analysis, network analysis) with a focus on network analysis, within which four overarching themes can be detected: (1) sexual discomfort emerges as an overarching theme, (2) asymmetrical pleasure and phallocentrism are featured in all models, but configured differently according to gender, (3) masculine dominance emerges as a distinct theme for women, while (4) naturalized masculine initiative emerges as a distinct theme for men. These findings are interpreted to give a more nuanced account of radical feminist analysis of sexual intercourse and allow for a methodological discussion of the advantages and issues of network analysis in the context of understanding sexual scripts.}},
  author       = {{Heyne, Ragna Lou}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Understanding Patriarchal Sexual Scripts in an Anonymous Survey Using Network Analysis}},
  year         = {{2024}},
}