The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Meta-Analysis of the Prevalence of Unacknowledged Rape
Abstract
Many sexual violence survivors do not label their experiences as rape but instead use more benign labels, such as “bad sex” or “miscommunication.” A meta-analysis was conducted to estimate the mean prevalence of unacknowledged rape and to inform our understanding of methodological factors that influence the detection of this phenomenon. Studies were identified using PsycINFO, PubMED, and PILOTS and were required to report the percentage of unacknowledged rape that had occurred since the age of 14 among female survivors. Moderator variables included mean participant age, recruitment source, rape definition, and unacknowledged rape definition. Twenty-eight studies (30 independent samples) containing 5,917 female rape survivors met the inclusion criteria. Based on a random effects model, the overall weighted mean percentage of unacknowledged rape was 60.4% (95% confidence interval [55.0%, 65.6%]). There was a large amount of heterogeneity, Q(29) = 445.11, p < .001, and inconsistency ( I 2 = 93.5%) among included studies. The prevalence was significantly higher among college student participants compared to noncollege participants. The findings supported that over half of all female rape survivors do not acknowledge that they have been raped. The results suggest that screening tools should use behaviorally descriptive items about sexual contact, rather than using terms such as “rape.”
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Posttraumatic Stress Disorder in the National Comorbidity Survey
Kessler, R. C. (1995) · Archives of General Psychiatry · doi:10.1001/archpsyc.1995.03950240066012 · Cited by 10,379
The world report on violence and health
Krug, E. G., Mercy, J. A., Dahlberg, L. L., & Zwi, A. B. (2002) · The Lancet · doi:10.1016/s0140-6736(02)11133-0 · Cited by 9,110
Koss, M. P., Gidycz, C. A., & Wisniewski, N. (1987) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.55.2.162 · Cited by 2,602
Trauma and Posttraumatic Stress Disorder in the Community: The 1996 Detroit Area Survey of Trauma
Breslau, N., Kessler, R. C., Chilcoat, H. D., Schultz, L. R., Davis, G. C., & Andreski, P. (1998) · Archives of General Psychiatry · doi:10.1001/archpsyc.55.7.626 · Cited by 2,407
Tjaden, P., & Thoennes, N. (2000) · PsycEXTRA Dataset · doi:10.1037/e514172006-001 · Cited by 2,067
Sexual Experiences Survey: A research instrument investigating sexual aggression and victimization.
Koss, M. P., & Oros, C. J. (1982) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.50.3.455 · Cited by 1,444
Cited by
The prevalence of technology-facilitated sexual violence: A meta-analysis and systematic review
Patel, U., & Roesch, R. (2022) · Trauma, Violence, & Abuse · doi:10.1177/1524838020958057 · Cited by 175
Post-exposure prophylaxis for HIV infection in sexual assault victims.
Inciarte, A., Leal, L., Masfarre, L., Gonzalez, E., Diaz‐Brito, V, Lucero, C., Garcia‐Pindado, J., León, A., García, F., & the Sexual Assault Victims Study Group (2020) · HIV Medicine · doi:10.1111/hiv.12797 · Cited by 28
Metadata
- Authors
- Wilson, L. C., & Miller, K. E.
- Venue
- Trauma, Violence, & Abuse
- Publisher
- SAGE Publications
- Published
- 2015-03-17
- Volume
- 17
- Issue
- 2
- Pages
- 149-159
- ISSN
- 1524-8380 (ISSN-L)
- 1552-8324
- OpenAlex
- W1965383740
- Cited by
- 279
- References
- 51
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Meta-Analysis of the Prevalence of Unacknowledged Rape. https://app.cochat.ai/papers/10.1177/1524838015576391
- The paper
- Wilson, L. C., & Miller, K. E. (2016). Meta-Analysis of the Prevalence of Unacknowledged Rape. Trauma, Violence, & Abuse. https://doi.org/10.1177/1524838015576391
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.