Evidence map›Paper›PMID 34393462›Full record

ArticleJournal of contemporary criminal justice2020

The Assessment of Forced Penetration: A Necessary and Further Step Toward Understanding Men's Sexual Victimization and Women's Perpetration.

RaeAnn E Anderson, Erica L Goodman, Sidney S Thimm

Abstract read
In one paragraph

Article in Journal of contemporary criminal justice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Trial
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  3. Comparison of Sexual Violence Perpetration Rates Among Gay, Lesbian and Heterosexual Cisgender Adults.Sexuality research & social policy : journal of NSRC : SR & SP · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

RaeAnn E AndersonDepartment of Psychology, University of North Dakota, Grand Forks, ND, USA.ORCID 0000-0001-9938-0717
Erica L GoodmanDepartment of Psychology, University of North Dakota, Grand Forks, ND, USA.
Sidney S ThimmDepartment of Psychology, University of North Dakota, Grand Forks, ND, USA.

Funding

Identifying High-Risk Periods and People for Alcohol-Facilitated Sexual Violence Perpetration in College MenK01AA026643 · NIAAA · UNIVERSITY OF NORTH DAKOTA · PI ANDERSON, RAEANN · 2018 to 2022
$784k
NIAAA NIH HHS K01 AA026643NIAAA NIH HHS L30 AA027043
6 · The paper itself

Abstract

A unique form of sexual victimization that often goes undiscussed and, therefore, underassessed is that of being forced to penetrate another person (i.e., forced penetration). Due to forced penetration being a relatively novel addition to the definition of rape, there is a lack of assessment tools that identify forced penetration cases. Thus, the goal of this study was to assess the utility and validity of new items designed to assess forced penetration. More than 1,000 participants were recruited across three different studies to assess forced penetration victimization and perpetration. The rate of forced penetration victimization ranged from 4.51% to 10.62%. Among men who reported victimization of any type, 33.8% to 58.7% of victimized men reported experiencing forced penetration across the samples, suggesting this experience is common. All new and unique cases of sexual victimization identified by the forced penetration items were those of heterosexual men. These findings suggest that assessing for forced penetration would increase the reported prevalence rates of sexual victimization, particularly in heterosexual men (and correspondingly, rates of perpetration in women).

Indexed as

assessmentfemale perpetrationforced penetrationmeasurementmensexual perpetrationsexual victimization

Identifiers

PMID34393462
PMCPMC8360364

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.