Research about technology-based abuse (TBA) has primarily relied on youth-focused survey research, leading to gaps in knowledge about the experiences of TBA among adult populations. However, studies among adult intimate partner violence (IPV) survivors suggest that TBA is a pervasive problem warranting attention. This study builds on the limited existing literature about adult experiences of TBA by examining patterns of TBA among adult abuse survivors (n = 377). Latent class analysis showed three distinct patterns of TBA: technology-based emotional abuse, technology-based monitoring, and technology-based control. Multinomial regression analyses demonstrated that TBA co-occurs with offline IPV. Findings reinforce the significant role of TBA in adult IPV survivors’ lives and highlight the importance of assessing for TBA among survivors.
AsparouhovT.MuthénB. (2014). Auxiliary variables in mixture modeling: Three-step approaches using M plus. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 329–341.
2.
BelknapJ.ChuA. T.DePrinceA. P. (2011). The roles of phones and computers in threatening and abusing women victims of male intimate partner abuse. Duke Journal of Gender Law & Policy, 19, 373.
3.
Bent-GoodleyT. B. (2005). Culture and domestic violence: Transforming knowledge development. Journal of Interpersonal Violence, 20(2), 195–203.
4.
BergmanL. R.MagnussonD. (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology, 9(2), 291–319.
5.
BrownC.HegartyK. (2018). Digital dating abuse measures: A critical review. Aggression and Violent Behavior, 40, 44–59.
6.
BrownC.SanciL.HegartyK. (2021). Technology-facilitated abuse in relationships: Victimisation patterns and impact in young people. Computers in Human Behavior, 124, 106897.
7.
CaridadeS.BragaT.BorrajoE. (2019). Cyber dating abuse (CDA): Evidence from a systematic review. Aggression and Violent Behavior, 48, 152–168.
CohenJ.CohenP.WestS. G.AikenL. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
11.
CollinsL. M.LanzaS. T. (2009). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. John Wiley & Sons.
12.
DouglasH.HarrisB. A.DragiewiczM. (2019). Technology-facilitated domestic and family violence: Women’s experiences. The British Journal of Criminology, 59(3), 551–570.
13.
DragiewiczM.BurgessJ.Matamoros-FernándezA.SalterM.SuzorN. P.WoodlockD.HarrisB. (2018). Technology facilitated coercive control: Domestic violence and the competing roles of digital media platforms. Feminist Media Studies, 4, 609–625.
14.
EatonA. A.NooriS.BonomiA.StephensD. P.GillumT. L. (2020). Nonconsensual porn as a form of intimate partner violence: Using the power and control wheel to understand nonconsensual porn perpetration in intimate relationships. Trauma, Violence, & Abuse, 22(5), 1140–1154.
15.
EdenK. B.PerrinN. A.HansonG. C.MessingJ. T.BloomT. L.CampbellJ. C.GielenA. C.CloughA. S.Barnes-HoytJ. S.GlassN. E. (2015). Use of online safety decision aid by abused women: effect on decisional conflict in a randomized controlled trial. American Journal of Preventive Medicine, 48(4), 372–383.
16.
FreedD.PalmerJ.MinchalaD.LevyK.RistenpartT.DellN. (2018). “A stalker’s paradise”: How intimate partner abusers exploit technology. In Proceedings of the 2018 CHI conference on human factors in computing systems (CHI ‘18) (pp. 1–13). New York, NY, USA: Association for Computing Machinery, Paper 667. https://doi.org/10.1145/3173574.3174241
17.
GlassN.E.PerrinN.A.HansonG.C.BloomT.L.MessingJ.T.CloughA.S.CampbellJ.C.GielenA.C.CaseJ.EdenK.B. (2017). The longitudinal impact of an internet safety decision aid for abused women. The American Journal of Preventative Medicine, 52(5), 606–615.
18.
HegartyK.BushR.SheehanM. (2005). The Composite Abuse Scale: Further development and assessment of reliability and validity of a multidimensional partner abuse measure in clinical settings. Violence and Victims, 20(5), 529–547.
19.
HenryN.PowellA.FlynnA. (2017). Not just ‘revenge pornography’: Australians’ experiences of image-based abuse. A Summary Report. RMIT University.
20.
HoltT. J. (2018). Regulating cybercrime through law enforcement and industry mechanisms. The Annals of the American Academy of Political and Social Science, 679(1), 140–157. https://doi.org/10.1177/0002716218783679
21.
IBM Corp. (2020). IBM SPSS Statistics for Windows (Version 27.0). IBM Corp. [Computer software].
22.
LeemisR. W.FriarN.KhatiwadaS.ChenM. S.KresnowM.SmithS. G.CaslinS.BasileK. C. (2022). The National Intimate Partner and Sexual Violence Survey: 2016/2017 Report on Intimate Partner Violence. National Center for Injury Prevention and Control, Centers for Disease Control and Prevention.
23.
LenhartA.YbarraM.Price-FeeneyM. (2016). Nonconsensual image Sharing: One in 25 Americans has been a victim of “revenge porn.” Research Memo, Data & Society Research Institute.
24.
MessingJ.Bagwell-GrayM.BrownM. L.KappasA.DurfeeA. (2020). Intersections of stalking and technology-based abuse: Emerging definitions, conceptualization, and measurement. Journal of Family Violence, 35(7), 693–704.
25.
MessingJ. T.AbiNaderM.Bent-GoodleyT.CampbellJ. (2022). Preventing intimate partner homicide: The long road ahead. Homicide Studies, 26(1), 91–105.
PetroskyE.BlairJ. M.CarterJ. B.FowlerK. A.JackS. P. D.LyonsB. H. (2017). Racial and ethnic differences in homicides of adult women and the Role of Intimate Partner Violence—United States, 2003–2014. MMWR Morbidity and Mortality Weekly Report, 66(28), 741–746.
29.
PowellA.HenryN.FlynnA.ScottA. 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.
ReedL. A.TolmanR. M.WardL. M. (2017). Gender matters: Experiences and consequences of digital dating abuse victimization in adolescent dating relationships. Journal of Adolescence, 59, 79–89. https://doi.org/10.1016/j.adolescence.2017.05.015
32.
Rocha-SilvaT.NogueriaC.RodriguesL. (2021). Intimate abuse through technology: A systematic review of scientific constructs and behavioral dimensions. Computers in Human Behavior, 122, 106861.
33.
RossJ. M.DrouinM.CoupeA. (2019). Sexting coercion as a component of intimate partner polyvictimization. Journal of Interpersonal Violence, 34(11), 2269–2291.
34.
SmithP. H.EarpJ. A.DeVellisR. (1995). Measuring battering: Development of the Women’s Experience with Battering (WEB) Scale. Women’s Health: Research on Gender, Behavior, & Policy, 1(4), 273–288.
35.
SouthworthC.DawsonS.FraserC.TuckerS. (2005). A high-tech twist on abuse: Technology, intimate partner stalking, and advocacy. Violence Against Women Online Resources, 1–16.
36.
SouthworthC.FinnJ.DawsonS.FraserC.TuckerS. (2007). Intimate partner violence, technology, and stalking. Violence Against Women, 13(8), 842–856.
37.
WangJ.WangX. (2019). Structural equation modeling: Applications using Mplus. John Wiley & Sons.
38.
WolakJ.FinkelhorD.WalshW.TreitmanL. (2018). Sextortion of minors: Characteristics and dynamics. Journal of Adolescent Health, 62(1), 72–79.
39.
WoodlockD.McKenzieM.WesternD.HarrisB. (2020). Technology as a weapon in domestic violence: Responding to digital coercive control. Australian Social Work, 73(3), 368–380.
40.
ZaidiA. U.FernandoS.AmmarN. (2015). An exploratory study of the impact of information communication technology (ICT) or computer-mediated communication (CMC) on the level of violence and access to service among intimate partner violence (IPV) survivors in Canada. Technology in Society, 41, 91–97.
