Technology-Facilitated Sexual Violence Myth Acceptance Validation Dataset

This dataset accompanies a study focused on the development and validation of the <i>Technology-Facilitated Sexual Violence Myth Acceptance Scale (TFSVMA)</i>—a novel psychometric instrument designed to assess the endorsement of myths that justify or trivialize technology-facilitated sexual violence (TFSV). TFSV includes behaviours such as image-based abuse, online sexual harassment, doxing, and other coercive or abusive acts occurring via digital technologies.The dataset includes responses from 433 participants, comprising members of the general public, police personnel, and healthcare/social workers in Australia. This diverse sample allows for the assessment of TFSV myth acceptance across both community and professional populations, with implications for secondary victimization and institutional responses to victims.<b>Data collection and methodology</b>:Participants were recruited online through social media, survey distribution platforms, and targeted professional networks.Data were collected using a 47-item draft version of the TFSVMA scale, developed based on a comprehensive literature review and expert panel feedback.Participants also completed the Acceptance of Modern Myths about Sexual Aggression (AMMSA-21), the Sexual Image-Based Abuse Myth Acceptance Scale (SIAMAS), and the Marlowe-Crowne Social Desirability Scale.The final dataset includes demographic variables and anonymized responses to all scale items.<b>Analytical techniques</b> used include:Exploratory and confirmatory factor analyses (EFA/CFA)Bifactor modellingNetwork analysisReliability analysis (Cronbach’s α, omega coefficients)Convergent and discriminant validity testingDifferential item functioning (DIF) analyses<b>Ethical approval</b> for data collection was granted by the University of Jaén Human Research Ethics Committee. All participants provided informed consent prior to participation, and all data were collected anonymously to ensure privacy and confidentiality in accordance with ethical guidelines for human research.This dataset supports the validation of a tool that can inform research, training, and intervention efforts to address TFSV and reduce the normalization of digital sexual violence, especially in professional settings such as law enforcement and healthcare.