Department of Human Development and Family Studies, Michigan State University, East Lansing, Michigan, USA.
Department of Communication, University of Washington, Seattle, Washington, USA.
J Sex Marital Ther. 2023;49(6):659-672. doi: 10.1080/0092623X.2023.2174225. Epub 2023 Feb 6.
Pornography use is multidimensional, yet most studies of the topic use variable-oriented methods (e.g., frequency of use) that reduce the experience to a single dimension. In this study, we sought to identify different multidimensional patterns of pornography genre preferences among a sample of women ( = 206) and examine how those patterns are differentially associated with sexual experiences and beliefs examined in previous literature. Latent Class Analysis uncovered four patterns (or classes): (39%) (27%), (23%) (11%). Class membership was differentially predicted by prior sexual victimization, sexual esteem, and diverse sexual experiences while controlling for frequency of use. These findings suggest that genre preference could account for much of the mixed findings of prior work that measured pornography use with unidimensional approaches.
研究表明，浏览色情作品的行为具有多维性，但大多数相关研究都采用变量导向的方法（例如，使用频率），将这种行为简化为单一维度。 在这项研究中，我们试图在女性样本（ = 206）中确定不同的色情作品类型偏好的多维模式，并探讨这些模式如何与之前文献中研究的性经验和信念相关联。潜在类别分析揭示了四种模式（或类别）：高频率观看传统色情（39%）、高频率观看互动色情（27%）、高频率观看异性恋色情（23%）、低频率观看色情（11%）。在控制使用频率的情况下，类别的成员身份可以通过先前的性受害、性自尊和多样化的性经验来预测。这些发现表明，在使用单一维度方法衡量色情作品使用情况的先前工作中，作品类型偏好可能可以解释许多混合的研究结果。
