The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
A Web-Based Sexual Violence Bystander Intervention for Male College Students: Randomized Controlled Trial
Open accessAbstract
BACKGROUND: Bystander intervention approaches offer promise for reducing rates of sexual violence on college campuses. Most interventions are in-person small-group formats, which limit their reach and reduce their overall public health impact. OBJECTIVE: This study evaluated the efficacy of RealConsent, a Web-based bystander approach to sexual violence prevention, in enhancing prosocial intervening behaviors and preventing sexual violence perpetration. METHODS: A random probability sample of 743 male undergraduate students (aged 18 to 24 years) attending a large, urban university located in the southeastern United States was recruited online and randomized to either RealConsent (n=376) or a Web-based general health promotion program (n=367). Participants were surveyed online at baseline, postintervention, and 6-months postintervention. RealConsent was delivered via a password-protected Web portal that contained six 30-minute media-based and interactive modules covering knowledge of informed consent, communication skills regarding sex, the role of alcohol and male socialization in sexual violence, empathy for rape victims, and bystander education. Primary outcomes were self-reported prosocial intervening behaviors and sexual violence perpetration. Secondary outcomes were theoretical mediators (eg, knowledge, attitudes). RESULTS: At 6-month follow-up RealConsent participants intervened more often (P=.04) and engaged in less sexual violence perpetration (P=.04) compared to controls. In addition, RealConsent participants reported greater legal knowledge of sexual assault (P<.001), greater knowledge of effective consent (P<.001), less rape myths (P<.001), greater empathy for rape victims (P<.001), less negative date rape attitudes (P<.001), less hostility toward women (P=.01), greater intentions to intervene (P=.04), less hyper-gender ideology (P<.001), less positive outcome expectancies for nonconsensual sex (P=.03), more positive outcome expectancies for intervening (P<.001), and less comfort with other men's inappropriate behaviors (P<.001). CONCLUSIONS: Our results support the efficacy of RealConsent. Due to its Web-based format, RealConsent has potential for broad-based dissemination thereby increasing its overall public health impact on sexual violence. TRIAL REGISTRATION: Clinicaltrials.gov: NCT01903876; http://clinicaltrials.gov/show/NCT01903876 (Archived by WebCite at http://www.webcitation.org/6S1PXxWKt).
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Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
Applied Regression Analysis and Other Multivariable Methods
Walker, E. (1989) · Technometrics · doi:10.1080/00401706.1989.10488486 · Cited by 8,538
Health Promotion by Social Cognitive Means
Bandura, A. (2004) · Health Education & Behavior · doi:10.1177/1090198104263660 · Cited by 7,238
The Revised Conflict Tactics Scales (CTS2): Development and Preliminary Psychometric Data
STRAUS, M. A., HAMBY, S. L., BONEY-McCOY, S., & SUGARMAN, D. B. (1996) · Journal of Family Issues · doi:10.1177/019251396017003001 · Cited by 6,923
Social Cognitive Theory of Mass Communication
Bandura, A. (2001) · Media Psychology · doi:10.1207/s1532785xmep0303_03 · Cited by 3,386
A taxonomy of behavior change techniques used in interventions
Abraham, C., & Michie, S. (2008) · Health Psychology · doi:10.1037/0278-6133.27.3.379 · Cited by 2,525 · cited 1×
“This integration of expertise contributed to the use of proven behavior change techniques that span multiple fields, such as educational entertainment, didactic methods, and problem-based learning with user-face interactivity [68,69] to evoke targeted behavioral outcomes.”
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1376 · Cited by 2,517
Eysenbach, G., & CONSORT-EHEALTH Group (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1923 · Cited by 1,863
Cited by
Casey, E., Carlson, J., Two Bulls, S., & Yager, A. (2018) · Trauma, Violence, & Abuse · doi:10.1177/1524838016650191 · Cited by 275
Haslop, C., & O’Rourke, F. (2026) · Men and Masculinities · doi:10.1177/1097184x251333778 · Cited by 3
Metadata
- Authors
- Salazar, L. F., Vivolo-Kantor, A., Hardin, J., & Berkowitz, A.
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2014-09-05
- Volume
- 16
- Issue
- 9
- Pages
- e203
- ISSN
- 1438-8871 (ISSN-L)
- OpenAlex
- W2024877255
- Cited by
- 253
- References
- 65
- FWCI
- 25.13
- Type
- journal article
- Language
- en
- Open access
- gold
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