OSF
open access
The Global Measure of Masturbation Satisfaction (GMMAST): Scale Development and Preliminary Validation
machine-learningrandom-forestsexualitysocial-and-behavioral-sciencessocial-and-personality-psychology
Solo masturbation is a common sexual behavior, but its role in well-being is poorly understood. One reason is that the extant literature has generally focused on how engagement in masturbation (e.g., in the past 4 weeks) relates to well-being while neglecting how the subjective experience of masturb
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Global Measure of Masturbation Satisfaction (GMMAST): Scale Development and Preliminary Validation#1272002
- Masturbation Satisfaction: A Machine Learning Investigation of its Most Important Predictors#1286695
- Masturbation Satisfaction: A Machine Learning Investigation of its Most Important Predictors#1286650
- Tratamiento odontológico multidisciplinario para devolver funcionalidad masticatoria y estética del paciente: Análisis De Caso.#450749
- Mastic pilot study healthy volunteers#207988
Record · ID 1267905
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive