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Determining women's sexual self-schemas through advanced computerized text analysis.

Amelia M Stanton1, Ryan L Boyd1, Carey S Pulverman1

  • 1Department of Psychology, The University of Texas at Austin, USA.

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PubMed
Summary

This study used the meaning extraction method (MEM) to analyze women's sexual self-schemas, identifying seven key themes. Findings reveal significant differences in sexual self-schemas based on age, relationship status, and abuse history.

Keywords:
Childhood sexual abuseLanguageMeaning extraction methodSexual self-schema

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Area of Science:

  • Psychology
  • Sociology
  • Computer Science

Background:

  • Understanding women's sexual self-schemas is crucial for psychological well-being.
  • Previous research has explored various aspects of female sexuality, but a comprehensive thematic analysis of self-perceptions is lacking.

Purpose of the Study:

  • To analyze women's sexual self-schemas using a novel computerized text analysis technique.
  • To identify and characterize the core themes within women's descriptions of their sexual selves.
  • To investigate how demographic and experiential factors relate to variations in sexual self-schemas.

Main Methods:

  • The meaning extraction method (MEM), a computerized text analysis technique, was employed.
  • Participants (n=239) provided open-ended essays detailing their feelings about sex and sexuality.
  • Essays were analyzed using MEM to extract frequently occurring words and identify common themes.

Main Results:

  • Seven distinct themes emerged from the analysis: family and development, virginity, abuse, relationship, sexual activity, attraction, and existentialism.
  • These themes represent frequently used words and concepts in participants' self-descriptions.
  • Significant variations in sexual self-schemas were found to correlate with age, relationship status, and history of sexual abuse.

Conclusions:

  • The meaning extraction method (MEM) effectively identified key themes in women's sexual self-schemas.
  • Sexual self-perceptions are complex and influenced by developmental, relational, and experiential factors.
  • Age, relationship status, and sexual abuse history are significant demographic and experiential correlates of women's sexual self-schemas.