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      Factors Correlated With Sexual Assault Victimization Among College Students in the United States: A Meta-Analysis

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          Abstract

          Sexual assault (SA) continues to be a serious problem on college campuses in the United States. This meta-analysis sought to identify correlates for SA victimization on college campuses, as well as examine if there were any differences in correlates for men and women. Database searches utilizing Boolean search terms were used to identify studies to be included in the meta-analysis. Studies were included if they provided quantitative data on correlates for SA victimization among college students. A total of 118 studies yielding 405 unique effect sizes were included in this study. The strongest correlates for SA victimization among college students were physical intimate partner violence (IPV) perpetration, physical IPV victimization, emotional IPV victimization, and prior SA victimization. Other significant correlates were related to mental health (e.g., hopelessness, suicidal ideation, trauma symptoms, anxiety symptoms, depressive symptoms), and factors related to a campus party culture (e.g., binge drinking, alcohol use, drug use, Greek membership). We were able to compare seven correlates between men and women. Results of the meta-analysis also highlight the need for future research to examine additional correlates for SA victimization, as well as examine race/ethnicity and gender as separate categories when trying to further understand correlates for SA victimization.

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            A basic introduction to fixed-effect and random-effects models for meta-analysis.

            There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that the models are interchangeable. In fact, though, the models represent fundamentally different assumptions about the data. The selection of the appropriate model is important to ensure that the various statistics are estimated correctly. Additionally, and more fundamentally, the model serves to place the analysis in context. It provides a framework for the goals of the analysis as well as for the interpretation of the statistics. In this paper we explain the key assumptions of each model, and then outline the differences between the models. We conclude with a discussion of factors to consider when choosing between the two models. Copyright © 2010 John Wiley & Sons, Ltd. Copyright © 2010 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
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                Journal
                Trauma, Violence, & Abuse
                Trauma, Violence, & Abuse
                SAGE Publications
                1524-8380
                1552-8324
                February 01 2023
                : 152483802211468
                Affiliations
                [1 ]Kansas State University, Manhattan, USA
                [2 ]University of Illinois, Urbana-Champaign, USA
                Article
                10.1177/15248380221146800
                36722372
                1377dade-8734-4583-896c-433e7db76f02
                © 2023

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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