Desarrollo y validación de la Escala de Aceptación de Mitos sobre la Violencia Sexual Facilitada por la Tecnología.
Resumen
La violencia sexual facilitada por la tecnología (VSFT) es una forma emergente de violencia de género que abarca comportamientos como el abuso basado en imágenes, el acoso en línea y la coacción. Si bien la investigación sobre la prevalencia y el impacto de la VSFT ha aumentado, hay una falta de medidas validadas que evalúen las actitudes hacia estos comportamientos. Este estudio tuvo como objetivo desarrollar y validar la Escala de Aceptación de Mitos sobre la Violencia Sexual Facilitada por la Tecnología (EAMVSFT). Una revisión exhaustiva de la literatura permitió la generación de ítems, seguida de dos evaluaciones de paneles de expertos y un estudio piloto para establecer la validez de contenido. Un total de 433 participantes completaron la escala inicial de 47 ítems, que se sometió a análisis exploratorios y confirmatorios de factores, y un análisis de redes asociativas. Un modelo bifactorial produjo el mejor ajuste, lo que resultó en una escala final de 12 ítems que midió la aceptación de mitos sobre la VSFT. La EAMVSFT demostró una fuerte consistencia interna (α = .83), validez de constructo e invarianza de la medición entre los grupos demográficos estudiados. La validez convergente se apoyó en las correlaciones significativas con las medidas existentes de aceptación de mitos de violencia sexual. Esta escala proporciona una herramienta psicométricamente sólida para evaluar las actitudes hacia la VSFT, con implicaciones para la investigación, la prevención y las estrategias de la intervención.
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Aiken, L. R. (1980). Content validity and reliability of single items or questionnaires. Educational and Psychological Measurement, 40(4), 955–959. https://doi.org/10.1177/001316448004000419
Anderson, B., & Wood, M. A. (2021). Doxxing: A scoping review and typology. The Emerald International Handbook of Technology-Facilitated Violence and Abuse, 205–226. https://doi.org/10.1108/978-1-83982-848-520211015
Bates, S. (2017). Revenge porn and mental health: A qualitative analysis of the mental health effects of revenge porn on female survivors. Feminist Criminology, 12(1), 22–42. https://doi.org/10.1177/1557085116654565
Bailey, J., Henry, N., & Flynn, A. (2021). Technology-facilitated violence and abuse: International perspectives and experiences. In J. Bailey, N. Henry, & A. Flynn (Eds.), The Emerald International Handbook of Technology-Facilitated Violence and Abuse (pp. 1–17). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83982-848-520211001
Benítez-Hidalgo, V., Henares-Montiel, J., Ruiz-Pérez, I., & Pastor-Moreno, G. (2024). International prevalence of technology-facilitated sexual violence against women: A systematic review and meta-analysis of observational studies. Trauma, Violence, & Abuse, 26(4), 668-681. https://doi.org/10.1177/15248380241286813
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
Bohner, G., Weiss, A., Megias, J. (2022). AMMSA-21: A revised version of the acceptance of modern myths about sexual aggression scale in English, German, Polish and Spanish. International journal of social psychology, 37(3), 460–491. https://doi.org/10.1080/02134748.2022.2083291
Borrajo, E., & Calvete, E. (2015). Justification beliefs of violence, myths about love and cyber dating abuse. Psicothema, 27(4), 327–333. DOI: 10.7334/psicothema2015.59
Brown, C., & Hegarty, K. (2021). Development and validation of the TAR scale: A measure of technology-facilitated abuse in relationships. Computers in Human Behavior Reports, 3, 1-10. https://doi.org/10.1016/j.chbr.2021.100059
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Publications.
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258. https://doi.org/10.1177/0049124192021002005
Buchanan, N., & Mahoney, A. (2022). Development of a scale measuring online sexual harassment: Examining gender differences and the emotional impact of sexual harassment victimization online. Legal and Criminological Psychology, 27(1), 63–81. https://doi.org/10.1111/lcrp.12197
Carpenter, S. (2018). Ten steps in scale development and reporting: A guide for researchers. Communication Methods and Measures, 12(1), 25–44. DOI: 10.1080/19312458.2017.1396583
Chatzisymeonidis, S., & Pina, A. (2024). Exploring police attitudes on victims’ delayed reporting and victim blame in technology-facilitated IPV. Crime Science, 13(1), 12. https://doi.org/10.1186/s40163-024-00213-x
Champion, A. R., Oswald, F., Khera, D., & Pedersen, C. L. (2022). Examining the gendered impacts of technology-facilitated sexual violence: A mixed methods approach. Archives of Sexual Behavior, 51(3), 1607–1624. DOI: 10.1007/s10508-021-02226-y
Christensen, A. P., & Golino, H. (2021a). Estimating the stability of psychological dimensions via bootstrap exploratory graph analysis: A Monte Carlo simulation and tutorial. Psych, 3(3), 479–500. https://doi.org/10.3390/psych3030032
Christensen, A. P., & Golino, H. (2021b). On the equivalency of factor and network loadings. Behavior Research Methods, 53(4), 1563–1580. https://doi.org/10.3758/s13428-020-01500-6
Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319. https://doi.org/10.1037/1040-3590.7.3.309
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Abingdon. Routledge. https://doi.org/10.4324/9780203771587
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Cross, C., Holt, T., Powell, A., & Wilson, M. (2021). Responding to cybercrime: Results of a comparison between community members and police personnel. Trends and Issues in Crime and Criminal Justice, (635), 1–20. https://doi.org/10.52922/ti78207
Crowne, D. P., & Marlowe, D. (1960). Marlowe-Crowne social desirability scale. Journal of Consulting Psychology, 24(4), 349–354. https://doi.org/10.1037/h0047358
De Araújo, A. V. M., Bonfim, C. V. do, Bushatsky, M., & Furtado, B. M. A. (2022). Technology-facilitated sexual violence: A review of virtual violence against women. Research, Society and Development, 11(2), e57811225757–e57811225757. https://doi.org/10.33448/rsd-v11i2.25757
Domínguez-Lara, S. (2018). Propuesta de puntos de corte para cargas factoriales: una perspectiva de fiabilidad de constructo [Proposal for cut-offs for factor loadings: A construct reliability perspective]. Enfermería Clínica, 28(6), 401–402. https://doi.org/10.1016/j.enfcli.2018.06.002
Domínguez-Lara, S., & Merino-Soto, C. (2018). Evaluación de las malas especificaciones en modelos de ecuaciones estructurales [Testing misspecifications in structural equation modeling]. Revista Argentina de Ciencias del Comportamiento, 10(2), 19–24. https://doi.org/10.30882/1852.4206.v10.n2.19595
Domínguez-Lara, S., & Rodriguez, A. (2017). Statistical indices from bifactor models. Interacciones, 3(2), 59–65. https://doi.org/10.24016/2017.v3n2.51
Dunn, S. (2020). Technology-facilitated gender-based violence: An overview (Supporting a Safer Internet Paper No. 1). Centre for International Governance Innovation. https://www.cigionline.org/publications/technology-facilitated-gender-based-violence-overview/
Epskamp, S. (2020). Bootnet: Bootstrap methods for various network estimation routines. https://cran.r-project.org/package=bootnet
Epskamp, S. (2021). Psychonetrics: Structural equation modeling and confirmatory network analysis. https://CRAN.R-project.org/package=psychonetrics
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1
Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network Visualizations of Relationships in Psychometric Data. Journal of Statistical Software, 48(4), 1–18. https://doi.org/10.18637/jss.v048.i04
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617–634. https://doi.org/10.1037/met0000167
eSafety Commissioner (2023) Technology-facilitated abuse: family, domestic and sexual violence literature scan, Canberra: Australian Government. https://www.esafety.gov.au/research/literature-scan-of-tech-based-family-domestic-and-sexual-violence
Finney S. J., & DiStefano C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural Equation Modeling. A Second Course (pp. 269–314). Information Age Publishing.
Fisico, R., & Harkins, L. (2021). Technology and sexual offending. Current Psychiatry Reports, 23, 1–8. https://doi.org/10.1007/s11920-021-01269-1
Flores-Kanter, P. E., Domínguez-Lara, S., Trógolo, M. A., & Medrano, L. A. (2018). Best practices in the use of bifactor models: Conceptual grounds, fit indices and complementary indicators. Revista Evaluar, 18(3), 44–48. https://doi.org/10.35670/1667-4545.v18.n3.22221
Flynn, A., Hindes, S., & Powell, A. (2022a). Technology-facilitated abuse: Interviews with victims and survivors and perpetrators. Australia's National Research Organisation for Women's Safety (ANROWS). https://www.anrows.org.au/publication/technology-facilitated-abuse-interviews-with-victims-and-survivors-and-perpetrators/
Flynn, A., Powell, A., & Hindes, S. (2021). Technology-facilitated abuse: A survey of support services stakeholders. (Research Report, 02/2021). ANROWS. https://www.anrows.org.au/publication/technology-facilitated-abuse-a-survey-of-support-services-stakeholders/
Flynn, A., Powell, A., & Hindes, S. (2022b). Technology-facilitated gender-based violence: Developing an integrated theoretical framework. Trauma, Violence, & Abuse, 23(1), 155–166. https://doi.org/10.1177/1524838020933874
Flynn, A., Powell, A., Scott, A. J., & Cama, E. (2022c). Deepfakes and digitally altered imagery abuse: A cross-country exploration of an emerging form of image-based sexual abuse. The British Journal of Criminology, 62(6), 1341-1358. https://doi.org/10.1093/bjc/azab111
Gámez-Guadix, M., Sorrel, M. A., & Martínez-Bacaicoa, J. (2022). Technology-facilitated sexual violence perpetration and victimization among adolescents: A network analysis. Sexuality Research and Social Policy, 20, 1000–1012. https://doi.org/10.1007/s13178-022-00775-y
Glick, P., & Fiske, S. T. (2001). An ambivalent alliance: Hostile and benevolent sexism as complementary justifications for gender inequality. American Psychologist, 56(2), 109–118. https://doi.org/10.1037/0003-066X.56.2.109
Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., Thiyagarajan, J. A., & Martinez-Molina, A. (2020). Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. Psychological Methods, 25(3), 292-320. DOI: 10.1037/met0000255
Henry, N., Flynn, A., & Powell, A. (2018). Policing image-based sexual abuse: Stakeholder perspectives. Police Practice and Research, 19(6), 565-581. https://doi.org/10.1080/15614263.2018.1507892
Henry, N., McGlynn, C., Flynn, A., Johnson, K., Powell, A., & Scott, A., J. (2020). Image-based sexual abuse: A study on the causes and impacts of non-consensual nude or sexual imagery (1st Ed.). Routledge. https://doi.org/10.4324/9781351135153
Henry, N., & Powell, A. (2015). Embodied harms: Gender, shame, and technology-facilitated sexual violence. Violence Against Women, 21(6), 758–779. https://doi.org/10.1177/1077801215576581
Henry, N., & Powell, A. (2016). Sexual violence in the digital age: The scope and limits of criminal law. Social & Legal Studies, 25(4), 397-418. https://doi.org/10.1177/0964663915624273
Henry, N., & Powell, A. (2018). Technology-facilitated sexual violence: A literature review of empirical research. Trauma, Violence, & Abuse, 19(2), 195-208. https://doi.org/10.1177/1524838016650189
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Hunsley, J., & Mash, E.J. (2008). Developing criteria for evidence-based assessment: An introduction to assessment that works. In J. Hunsley & E. J. Mash (Eds.) A guide to assessments that work (pp. 3–14). Oxford University Press. https://doi.org/10.1093/med:psych/9780195310641.001.0001
Isvoranu, A. M., & Epskamp, S. (2023). Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers. Psychological Methods, 28(4), 925–946. https://doi.org/10.1037/met0000439
Johnson, N. L., & Johnson, D. M. (2021). An empirical exploration into the measurement of rape culture. Journal of Interpersonal Violence, 36(1–2), NP70-NP95. https://doi.org/10.1177/0886260517732347
Killean, R., McAlinden, A. M., & Dowds, E. (2022). Sexual violence in the digital age: replicating and augmenting harm, victimhood and blame. Social & Legal Studies, 31(6), 871-892. DOI: 10.1177/09646639221086592
Koon-Magnin, S., & Schulze, C. (2019). Providing and receiving sexual assault disclosures: Findings from a sexually diverse sample of young adults. Journal of Interpersonal Violence, 34(2), 416–441. https://doi.org/10.1177/0886260516641280
Koukopoulos, N., Janickyj, M., & Tanczer, L. M. (2025). Defining and conceptualizing technology-facilitated abuse (“tech abuse”): Findings of a global delphi study. Journal of Interpersonal Violence, 0(0). https://doi.org/10.1177/08862605241310465
Li, L. (2025). Rape myth acceptance in the digital age: The effects of using dating apps and the moderation role of gender. Human Behavior and Emerging Technologies, 2025(1). https://doi.org/10.1155/hbe2/9091296.
Machackova, H., Blaya, C., Bedrosova, M., Smahel, D., & Staksrud, E. (2020). Children’s experiences with cyberhate. EU Kids Online. https://doi.org/10.21953/lse.zenkg9xw6pua
Madadizadeh, F., & Bahariniya, S. (2023). Tutorial on how to calculating content validity of scales in medical research. Perioperative Care and Operating Room Management, 31, 100315-. https://doi.org/10.1016/j.pcorm.2023.100315
Martínez-Bacaicoa, J., Alonso-Fernández, M., Wachs, S., & Gámez-Guadix, M. (2023). Prevalence and motivations for technology-facilitated gender-and sexuality-based violence among adults: A mixed-methods study. Sex Roles, 89(11), 670-684. https://doi.org/10.1007/s11199-023-01412-7
Martínez-Bacaicoa, J., Sorrel, M. A., & Gámez-Guadix, M. (2024). Development and validation of technology-facilitated sexual violence perpetration and victimization scales among adults. Assessment, 31(8), 1580-1597. DOI: 10.1177/10731911241229575
McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64–82. https://doi.org10.1037/1082-989X.7.1.64
Murray, C., Mercado Guerra, J., Calderón, C., & Bahamondes, J. (2023). Mitos de violación en YouTube: Comentarios en el caso de Antonia Barra [Rape myths on Youtube: Comments on the Antonia Barra case]. Psykhe (Santiago), 32(2). http://dx.doi.org/10.7764/psykhe.2021.43549
Muthén, L. K., & Muthén, B. O. (1998-2015). Mplus User’s guide (7th ed.). Muthén & Muthén.
Payne, D. L., Lonsway, K. A., & Fitzgerald, L. F. (1999). Illinois Rape Myth Acceptance Scale--Short Form (IRMA-SF) [Database record]. APA PsycTests. https://doi.org/10.1037/t09511-000
Pina, A., Holland, J., & James, M. (2017). The malevolent side of revenge porn proclivity: Dark personality traits and sexist ideology. International Journal of Technoethics, 8 (1), 30–43. https://doi.org/10.4018/IJT.2017010103
Ponterotto, J., & Charter, R. (2009). Statistical extensions of Ponterotto and Ruckdeschel’s (2007) reliability matrix for estimating the adequacy of internal consistency coefficients. Perceptual and Motor Skills, 108(3), 878–886. https://doi.org/10.2466/PMS.108.3.878-886
Powell, A., & Henry, N. (2017). Sexual violence in a digital age. Palgrave Macmillan. DOI 10.1057/978-1-137-58047-4
Powell, A., Henry, N., & Flynn, A., & Scott, A. J. (2019). Image-based sexual abuse: The extent, nature, and predictors of perpetration in a community sample of Australian residents. Computers in Human Behavior 92, 393–402. https://doi.org/10.1016/j.chb.2018.11.009
Powell, A., Scott, A. J., Flynn, A., & McCook, S. (2022). Perpetration of image-based sexual abuse: Extent, nature and correlates in a multi-country sample. Journal of Interpersonal Violence, 37(23-24), NP22864-NP22889. https://doi.org/10.1177/08862605211072266
Powell, A., Scott, A. J., Flynn, A., & McCook, S. (2024). A multi-country study of image-based sexual abuse: Extent, relational nature and correlates of victimisation experiences. Journal of Sexual Aggression, 30(1), 25–40. https://doi.org/10.1080/13552600.2022.2119292
Powell, A., Scott, A. J., & Henry, N. (2020). Digital harassment and abuse: Experiences of sexuality and gender minority adults. European Journal of Criminology, 17(2), 199-223. https://doi.org/10.1177/1477370818788006
Powell, A., Stratton, G., & Cameron, R. (2018). Digital criminology: Crime and justice in digital society (1st ed.). Routledge. https://doi.org/10.4324/9781315205786
Powell, A., Scott, A. J., Flynn, A., & McCook, S. (2022). Perpetration of image-based sexual abuse: Extent, nature and correlates in a multi-country sample. Journal of Interpersonal Violence, 37(23-24), NP22864-NP22889. https://doi.org/10.1177/08862605211072266
Rackley, E., McGlynn, C., Johnson, K., Henry, N., Gavey, N., Flynn, A., & Powell, A. (2021). Seeking justice and redress for victim-survivors of image-based sexual abuse. Feminist Legal Studies, 29(3), 293-322. https://doi.org/10.1007/s10691-021-09460-8
Reynolds, W. M., (1982). Development of reliable and valid short forms of the marlowe-crowne social desirability scale. Journal of Clinical Psychology, 38(1), 119–125. https://doi.org/10.1002/1097-4679(198201)38:1<119::AID-JCLP2270380118>3.0.CO;2-I
Rindestig, F. C., Gådin, K. G., Jonsson, L., Svedin, C. G., Landberg, Å., & Dennhag, I. (2025). A latent class analysis of technology-facilitated sexual violence: Associations to other victimizations, psychiatric symptoms, and gender. Child Abuse & Neglect, 161, 107309. https://doi.org/0.1016/j.chiabu.2025.107309
Ringrose, J; Regehr, K; Milne, B; (2021) Understanding and combatting youth experiences of image-based sexual harassment and abuse. Department of Education, Practice and Society, UCL Institute of Education: London, UK. https://discovery.ucl.ac.uk/id/eprint/10139669
Robinaugh, D. J., Millner, A. J., & McNally, R. J. (2016). Identifying highly influential nodes in the complicated grief network. Journal of Abnormal Psychology, 125(6), 747–757. https://doi.org/10.1037/abn0000181
Rodríguez-Castro, Y., Alonso-Ruido, P., González-Fernández, A., Lameiras-Fernández, M., & Carrera-Fernández, M. V. (2017). Spanish adolescents' attitudes towards sexting: Validation of a scale. Computers in Human Behavior, 73, 375-384. https://doi.org/10.1016/j.chb.2017.03.049
Rodríguez, M., & Ruiz, M. (2008). Atenuación de la asimetría y de la curtosis de las puntuaciones observadas mediante transformaciones de variables: Incidencia sobre la estructura factorial [Attenuation of the asymmetry and kurtosis of observed scores through variable transformations: Impact on the factorial structure]. Psicológica, 29, 205–227. https://www.uv.es/psicologica/articulos2.08/6RODRIGUEZ.pdf
Rodríguez, A., Reise, S.P., & Haviland, M.G. (2016). Applying bifactor statistical indices in the evaluation of psychological measures. Journal of Personality Assessment, 98(3), 223-237. https://doi.org/10.1080/00223891.2015.1089249
Ryan, K.M. (2013). Issues of reliability in measuring intimate partner violence during courtship. Sex Roles, 69, 131–148. https://doi.org/10.1007/s11199-012-0233-4
Saris, W. E., Satorra, A., & van der Veld, W. M. (2009). Testing structural equation modeling or detection of misspecifications? Structural Equation Modeling, 16(4), 561–582. https://doi.org/10.1080/10705510903203433
Schulze, C., & Koon-Magnin, S. (2017). Gender, sexual orientation, and rape myth acceptance: Preliminary findings from a sample of primarily LGBQ-identified survey respondents. Violence and Victims, 32(1), 159–180. https://doi.org/10.1891/0886-6708.VV-D-15-00017
See, W. W. (2017). Differences of rape myth acceptance between genders: A systematic review. In Graduate Research in Education Seminar (GREduc) (pp. 43–51). Faculty of Educational Studies, Universiti Putra Malaysia. http://psasir.upm.edu.my/id/eprint/58751
Seewald, L., Walsh, T. B., Tolman, R. M., Lee, S. J., Reed, L. A., Ngo, Q., & Singh, V. (2022). Technology-facilitated abuse prevalence and associations among a nationally representative sample of young men. The Annals of Family Medicine, 20(1), 12-17. https://doi.org/10.1370/afm.2758.
Sheikh, M. M. R., & Rogers, M. M. (2024). Technology-facilitated sexual violence and abuse in low and middle-income countries: A scoping review. Trauma, Violence, & Abuse, 25(2), 1614-1629. DOI: 10.1177/15248380231191189
Silva Santos, I. L., Pimentel, C. E., & Mariano, T. E. (2023). Cyberstalking scale: Development and relations with gender, FOMO and social media engagement. Current Psychology, 42(6), 4802–4810. https://doi.org/10.1007/s12144-021-01823-3
Sparks, B., Stephens, S., & Trendell, S. (2023). Image-based sexual abuse: Victim-perpetrator overlap and risk-related correlates of coerced sexting, non-consensual dissemination of intimate images, and cyberflashing. Computers in Human Behavior, 148. https://doi.org/10.1016/j.chb.2023.107879.
Suarez, E., & Gadalla, T. M. (2010). Stop blaming the victim: A meta-analysis on rape myths. Journal of Interpersonal Violence, 25(11), 2010–2035. https://doi.org/10.1177/0886260509354503
Tziallas, E. (2015). Gamified eroticism: Gay male “social networking” applications and self-pornography. Sexuality & Culture, 19, 759-775. https://doi.org/10.1007/s12119-015-9288-z
University of Jaén (2021). Code of Good Practice in Research. https://www.ujaen.es/gobierno/vicinv/sites/gobierno_vicinv/files/uploads/SERVICIOS%20T%C3%89CNICOS%20DE%20INVESTIGACI%C3%93N.pdf
Urban, R. E., & Porras Pyland, C. (2022). Development and preliminary validation of the gender inclusive rape myth acceptance scale. Journal of Interpersonal Violence, 37(21-22), NP20630–NP20652. https://doi.org/10.1177/08862605211055076
Víllora, B., Navarro, R., & Yubero, S. (2019). Abuso online en el noviazgo y su relación con el abuso del móvil, la aceptación de la violencia y los mitos sobre el amor [Cyber dating abuse and its association with mobile abuse, acceptance of violence and myths of love]. Suma Psicológica, 26(1), 46-54. https://doi.org/10.14349/sumapsi.2019.v26.n1.6
Vizcaíno-Cuenca, R., Romero-Sánchez, M., & Carretero-Dios, H. (2025). (Cyber)rape culture: Development and validation of the acceptance of myths about cyber-sexual violence against women (AMCYS) scale in Spanish and English. Psychology of Women Quarterly, 49(2), 277–301. https://doi.org/10.1177/03616843251330248
Walker, K., Sleath, E., Hatcher, R. M., Hine, B., & Crookes, R. L. (2021). Nonconsensual sharing of private sexually explicit media among university students. Journal of Interpersonal Violence, 36(17-18), NP9078-NP9108. DOI: 10.1177/0886260519853414
Weare, S., & Willmott, D. (2024). The forced‐to‐penetrate myth acceptance scale (FTP‐MAS): A new attitudinal tool for assessing myths that surround female perpetrated sexual violence against men. Behavioral Sciences & the Law, 43(1), 158–168. https://doi.org/10.1002/bsl.2706
Wolford-Clevenger, C., Zapor, H., Brasfield, H., Febres, J., Elmquist, J., Brem, M., Shorey, R. C., &
Stuart, G. L. (2016). An examination of the partner cyber abuse questionnaire in a college student sample. Psychology of Violence, 6(1), 156. https://dx.doi.org/10.1037/a0039442
Woodlock, D., McKenzie, M., Western, D., & Harris, B. (2020). Technology as a weapon in domestic violence: Responding to digital coercive control. Australian Social Work, 73(3), 368-380. https://doi.org/10.1080/0312407X.2019.1607510
Zinbarg, R. E., Yovel, I., Revelle, W., & McDonald, R. P. (2006). Estimating generalizability to a latent variable common to all of a scale's indicators: A comparison of estimators for ωh. Applied Psychological Measurement, 30(2), 121–144. https://doi.org/10.1177/0146621605278814
Zvi, L. (2022). The double standard toward female and male victims of non-consensual dissemination of intimate images. Journal of Interpersonal Violence, 37(21-22), NP20146-NP20167. DOI: 10.1177/08862605211050109
Zvi, L., & Shechory-Bitton, M. (2020). Police officer perceptions of non-consensual dissemination of intimate images. Frontiers in Psychology, 11, 2148. DOI: 10.3389/fpsyg.2020.02148
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