Identifying Basic Classes of Sexual Orientation with Latent Profile Analysis: Developing the Multivariate Sexual Orientation Classification System.

Despite considerable progress, research on sexual minorities has been hindered by a lack of clarity and consistency in defining sexual minority groups. Further, despite recent recommendations to assess the three main dimensions of sexual orientation-identity, behavior, and attraction-it remains uncl...

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Publicado en:Archives of Sexual Behavior Vol. 48; no. 5; pp. 1403 - 1423
Autores principales: Legate, Nicole, Rogge, Ronald D.
Formato: journal article
Publicado: Springer Nature Jul2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Identifying Basic Classes of Sexual Orientation with Latent Profile Analysis: Developing the Multivariate Sexual Orientation Classification System.
      aug:
        au:
          Legate, Nicole
          Rogge, Ronald D.
        affil:
          Department of Psychology, Illinois Institute of Technology, 3424 S. State St., 60616, Chicago, IL, USA
          Department of Clinical and Social Sciences in Psychology, University of Rochester, Rochester, NY, USA
      su:
        Sexual orientation
        LGBTQ+ people
        Gay people
        Health equity
        Sexual minorities
        Health services accessibility
        Health status indicators
        Risk-taking behavior
        Human sexuality
      sug:
        subj:
          Sexual orientation
          LGBTQ+ people
          Gay people
          Health equity
          Sexual minorities
          Health services accessibility
          Health status indicators
          Risk-taking behavior
          Human sexuality
      keyword:
        Bisexual
        Gay
        Health disparities
        Lesbian
        Mostly heterosexual
        Bisexual
        Gay
        Health disparities
        Lesbian
        Mostly heterosexual
      ab: Despite considerable progress, research on sexual minorities has been hindered by a lack of clarity and consistency in defining sexual minority groups. Further, despite recent recommendations to assess the three main dimensions of sexual orientation-identity, behavior, and attraction-it remains unclear how best to integrate such multivariate information to define discrete sexual orientation groups, particularly when identity and behavior fail to match. The current study used a data-driven approach to identify a parsimonious set of sexual orientation classes. Latent profile analysis (LPA) was run within a large (N = 3182) and sexually diverse sample, using dimensions of sexual identity, behavior, and attraction as predictors. LPAs supported four fundamental sexual orientation classes not only in the overall sample, but also when conducted separately in men (n = 980) and women (n = 2175): heterosexual, homosexual, bisexual, and heteroflexible (a class representing individuals who self-identify as heterosexual or mostly heterosexual but report moderate same-sex sexual behavior and attraction). Heterosexuals reported the highest levels of psychological functioning and lowest risk behaviors. Homosexuals showed similarly high levels of psychological functioning to heterosexuals, but higher levels of risk behaviors. Bisexuals and heteroflexibles showed similarly low levels of psychological functioning and high risk taking. To facilitate applications of this classification approach, the study developed the Multivariate Sexual Orientation Classification System, reproducing the four LPA groups with 97% accuracy (kappa = .95) using just two items. Implications of this classification approach are discussed.
      pubtype: Academic Journal
      doctype: journal article
      src: R
    language: English
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