Initiating and Responding? Modeling Sexual Consent Behaviors Among MSM and WSW.Initiating and Responding? Modeling Sexual Consent Behaviors Among MSM MSM - Micronetics Standard MUMPS and WSW, Melanie A. Beres, University of Alberta, Canada Despite the volume of research related to sexual violence, sexual consent has received little attention from social science researchers. A handful of studies have attempted to describe behaviors used to indicate consent to sex between same-sex and different-sex partners. Findings suggested that consent is most often communicated nonverbally Adv. 1. nonverbally - without words; "they communicated nonverbally" non-verbally and consists of a wide range of behaviors. Existing research has categorized consent behaviors using either common-sense categories or data-reduction techniques, such as principle components analysis and factor analysis. Latent factors developed previously include indirect nonverbal non·ver·bal adj. 1. Being other than verbal; not involving words: nonverbal communication. 2. Involving little use of language: a nonverbal intelligence test. , direct nonverbal, and no response. Another feature of previous research is the separation of behaviors used to initiate sexual activity from those used to respond to sexual initiations. Previously, data were collected from men who have sex with men Men who have sex with men (MSM) is a term used mostly in the United States to classify men who engage in sex with other men, regardless of whether they self-identify as gay, bisexual, or heterosexual. and women who have sex with women Women who have sex with women (WSW) is a term used to identify women who have sex with other women, but may or may not self-identify as lesbian or bisexual. The term includes transwomen. regarding their use of consent cues. Exploratory factor analysis was used to suggest latent categories of consent behaviors. This study extends beyond previous research by using structural equation modeling Structural equation modeling (SEM) is a statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions. techniques to understand how consent behaviors operate together. I challenge the current practice of separating consent behaviors into initiating and responding cues. Continued research on sexual consent is paramount for those interested in understanding sexual violence and sexual assault. I also provide suggestions for researchers interested in sexual consent, including implications for constructing data collection tools and analyzing quantitative sexual consent data. |
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